103 results about "Reference grid" patented technology

The embodiment of the invention provides a low-altitude digital management method and device based on an urban space-time grid, and the method and device achieve the precise division of an airspace through a plurality of layers of grid units by creatively building a unified urban space-time reference grid system. And designing a space-time grid data assignment model, processing multi-source heterogeneous data by using a deep neural network and a space-time convolutional layer, and realizing intelligent mapping of grid features through an attention mechanism. And constructing an airspace situation awareness model based on a graph neural network, and capturing a space-time dependency relationship among grid units in combination with a message passing mechanism to realize accurate prediction and hierarchical management and control of an airspace state. According to the method, the defects of the traditional technology in the aspects of airspace division, data processing, situation awareness and the like are effectively overcome, and the accuracy and practicability of urban low-altitude digital management are remarkably improved.

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 gas detection system and device, and relates to the technical field of gas detection, and the system comprises a configuration module which is used for carrying out the type selection configuration of a monitoring sensor according to the monitored gas; the reference construction module is used for constructing reference grid density based on the minimum coverage area of the monitoring sensor; the monitoring node establishment module is used for performing region importance calculation on the to-be-monitored region and configuring monitoring nodes; the collaborative analysis module is used for acquiring and establishing a monitoring sensor array and establishing an associated collaborative coefficient; and the detection module is used for calling a decision fusion network to carry out abnormal decision making on the monitoring data based on the association cooperation coefficient, and generating a gas detection result. By means of the gas detection method and device, the technical problem that in the prior art, due to the fact that selection and configuration of the sensors are not adjusted according to actual requirements, the gas detection precision is low can be solved, the sensors are reasonably configured according to the gas type and the region importance, and the gas detection precision is improved.

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 present invention discloses a method for mission planning of a giant remote sensing constellation for regional targets, comprising the following steps: Step 1, construct a global regional reference system, determine the reference grid of the regional target and the corresponding observation grid, and obtain the observation grid information; Step 2, determine the observation priority, and calculate the comprehensive observation priority of each reference grid; Step 3, pre-allocate the constellation mission, generate the one-to-one correspondence between the observation grid and the imaging satellite within the observation demand period in the observation demand information, and obtain the constellation mission pre-allocation plan; Step 4, single-satellite mission planning, generate the satellite imaging and data transmission plans in the single-satellite mission planning stage based on the constellation mission pre-allocation plan, satellite special constraint conditions, satellite imaging characteristic parameters, satellite data transmission scheme and its optimization strategy. The present invention fully considers the constellation orbit heterogeneity, highly symmetric spatial structure and the law of global periodic motion, which helps to achieve the instant observation of the giant remote sensing constellation.

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 present invention relates to the technical field of building information modeling, and in particular to a BIM model rendering method, device, medium and equipment. By the matching degree between building components and each initial grid level and preset grid data, a reference grid level set and an intermediate grid level set are screened out, and a first tile set and a second tile set are constructed. The first tile is used to divide and render building components from a relatively macroscopic perspective, and the second tile presents more delicate detail parts of building components, which helps to achieve reasonable division and rendering of building components from different levels, meet diverse display requirements, and screen out target grid codes from multiple grid codes, and then construct and integrate the grid triangular faces corresponding to building components under each first tile, accurately determining the triangular face data for rendering the outer surface of building components while optimizing the rendering data volume, and greatly improving the rendering efficiency on the basis of ensuring the rendering effect.

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 invention provides a microseismic event positioning method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the network division of a first target region based on a first interval, and obtaining a plurality of first grid points and first coherence values corresponding to the first grid points; determining a zero point and a reference grid point in the plurality of first grid points according to the first coherence value; determining a second target area based on the distance between the reference grid point and the zero point under the condition that the first interval is greater than or equal to an interval threshold value; determining a second spacing based on the reference calculation time and the second target area; and returning to execute the step of carrying out network division on the second target area based on the second interval and the second target area, repeating iteration until any interval is determined to be smaller than an interval threshold value, and determining zero points in all grid points corresponding to the interval as the position of the micro-seismic event. The range of the micro-seismic event can be quickly locked, and the real-time performance of micro-seismic event positioning is improved while the positioning precision is ensured.

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.

The invention discloses a gridding visual display method and device for air quality and electronic equipment. The gridding visual display method comprises the following steps: constructing a refined reference grid with a geographic unit size of 0.01 degree * 0.01 degree; querying corresponding high-precision fence grid pollution factor data according to the grid center point position; carrying out attribute association on the constructed reference grids and the pollutant concentration values to obtain the pollutant concentration value of each grid; and according to the class color standard of the air quality pollution factor index, taking the pollutant concentration value of the central point of the grid as the concentration value of the grid to carry out color filling on the grid to obtain a rendering graph of the air quality pollution factor index of the target monitoring area. According to the invention, the air quality pollution condition of the target monitoring area can be displayed in a high-precision and full-coverage manner. And the monitoring data of the air quality pollutant factors of the target monitoring area can be displayed in a high-precision and seamless manner.

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.