28 results about "Grid reference" patented technology

The embodiment of the invention provides a low-altitude flight target conflict identification method and device, and the method comprises the steps: obtaining a basic scale of a space grid according to the features of a target airspace and the performance features of an aircraft, carrying out the multi-level grid division of the target airspace according to the difference logic and the basic scale of the space grid, and constructing a distributed grid reference space; performing height reference conversion and time reference synchronization on the flight data in the reference space, and associating the flight data with the reference space to obtain a target airspace index space; performing high layering on target airspace index space, performing secondary fine-grained flight conflict detection on each index space layer according to a preset time period, judging whether a potential flight conflict risk exists or not, if yes, acquiring real-time state data of the flight targets, predicting the minimum distance between the flight targets, judging whether an actual flight conflict risk exists or not, and if not, determining whether the actual flight conflict risk exists or not; the method can support the real-time conflict recognition of large-scale aircrafts, and improves the flight efficiency and safety of low-altitude aircrafts.

The invention belongs to the technical field of building identification, and particularly discloses a historical building intelligent identification method and system based on multi-source spatio-temporal data, and the method comprises the steps: building a unified spatio-temporal grid reference through collecting and fusing a historical map, a multi-temporal remote sensing image and laser radar point cloud data; three-dimensional shape and structure features and space-time semantic attribute features of the building are extracted from the fusion data set, and cross-modal feature deep fusion is performed by using a double-flow space-time neural network; and finally, completing intelligent identification and multiple verification of the historical building based on the fusion features, and outputting a structured result containing a distribution map and an attribute database. According to the method, the problems of single data dimension, dependence on artificial experience and insufficient result practicability in a traditional method are effectively solved, the full-process automation and intelligence of historical building recognition from data perception, feature analysis to result output are realized, and the recognition accuracy and efficiency are remarkably improved.

The invention discloses a space grid method for interconversion of geodetic height and barometric height, and belongs to the technical field of aviation navigation and geographic information systems. According to the method, the mutual conversion of geodetic height and barometric height is realized through establishing a global space-time grid reference system, establishing a space-time grid data base, converting barometric height to geodetic height, inversely converting the geodetic height to the barometric height, and carrying out reference conversion, data fusion and grid compression between the barometric heights. According to the method, the vertical availability of the height estimation value obtained through air pressure measurement within the height range within the stratosphere can be improved, the method is suitable for most weather conditions, the height estimation value with the precision reaching the ten-meter level can be achieved, and compared with an existing ISA-based method, the precision is higher, the application range is wider, and the application range is wider. The method can effectively improve the reliability of flight control systems of various aircrafts, and has wide application prospects in urban air traffic operation.

The invention relates to the technical field of image calibration, in particular to a layered grating image auxiliary calibration system, which comprises a brightness intersection point screening module, a node synchronous correction module, a reference difference extraction module, a spatial offset distribution module and a template link updating module. According to the invention, through directly extracting change characteristics of pixel brightness, deep screening of image structure information, real-time pairing and synchronous compensation of space nodes after acquisition, dynamic capturing and detailed comparison of space states between grid reference points are realized, and a system automatically distributes space errors to each grid point position. The parameter linkage compensation keeps the overall space coordination among lattice points, template data are reconstructed in real time and are subjected to chain mapping, the space data are continuously synchronized in the calibration process, the space parameter correction keeps high adaptability under noise disturbance, and continuous dynamic response can be realized by adapting to a multi-scene environment. And the calibration stability and the data chain integrity under different illumination, shielding and non-ideal conditions are enhanced.

The invention relates to the technical field of airspace management, in particular to an improved GeoSOT low-altitude gridding dynamic management method, which comprises the following steps: S1, constructing an improved GeoSOT grid reference system oriented to airspace representation; s2, carrying out spatial domain multi-scale rasterization representation; s3, establishing an airspace dynamic management mechanism; s4, performing conflict resolution and resource reuse; s5, constructing and storing a data structure; s6, dynamically adjusting the grid resolution; s7, the airspace state is visualized; and S8, optimizing the system performance. According to the scheme, based on a global longitude and latitude subdivision grid of a 2n one-dimensional integer array, an improved GeoSOT grid reference system achieves multi-level division of an airspace through 32-level recursive subdivision, the system comprises a subdivision scheme, address coding and attribute coding, the address code is composed of level coding and position coding, and the attribute coding is composed of level coding and position coding. The attribute code stores key information such as height range, use time and airspace type.

The invention discloses an ALB sounding point cloud filtering and recovering method for complex terrains such as a submarine abrupt slope, belongs to the technical field of data processing, and solves the problems that the I-class misjudgment rate is high, topographic features are smoothed or weakened and effective point clouds at the submarine abrupt slope are easily filtered out excessively in an existing method. The method comprises the steps of performing sea surface elevation estimation and separation processing on original point cloud, processing underwater point cloud based on a self-adaptive morphology water body filtering method, introducing a recovery mechanism based on hyperboloid fitting, recovering abrupt slope area point cloud misjudged as a water body noisy point through residual analysis, and obtaining a water body noisy point. According to the method, a fine processing strategy of filtering first and then recovering is adopted, and water body noisy points are accurately removed through self-adaptive morphological filtering in the earlier stage in combination with grid reference surface and spatial multi-dimensional binary tree index neighborhood analysis. A recovery mechanism based on hyperboloid fitting is introduced, and the abrupt slope area point cloud misjudged as the noisy point is recovered through residual analysis. And the misjudgment rate in a submarine abrupt slope area is effectively reduced.

The invention discloses a wireless charging management system and method for an unmanned aerial vehicle end, and relates to the technical field of unmanned aerial vehicle charging management, the system comprises a wireless charging station and an unmanned aerial vehicle, and the wireless charging management system provides high-precision relative position information through a UWB grid reference tag array to ensure that the unmanned aerial vehicle rapidly arrives at a charging area; the three-axis magnetometer is combined with the magnetic field gradient tensor algorithm, the pitch angle and yaw angle error is corrected in real time, energy transmission loss caused by attitude deviation is reduced, and the charging efficiency of the unmanned aerial vehicle is greatly improved. Through cooperation of the UWB base station and the magnetic induction coil array, accurate positioning and attitude correction of the unmanned aerial vehicle in the wireless charging station are realized, and the docking success rate and the charging efficiency of wireless charging of the unmanned aerial vehicle are remarkably improved.

The communication method comprises the steps that first communication equipment generates compression information of first data and sends the compression information to second communication equipment, the compression information comprises information of a first object, the first object is an object in a first grid chart, and the first grid chart corresponds to the first data, the information of the first object comprises type information of the first object and coordinate information of a grid reference point corresponding to the first object, and the type information of the first object indicates the type of the first object. The grid reference point corresponding to the first object can be used for representing the shape of the first object, that is, the shape feature of the object in the grid chart is considered in the generation process of the compression information, and the compression efficiency of the first data can be improved.

The application belongs to the technical field of building identification, and specifically discloses a historical building intelligent identification method and system based on multi-source space-time data. The method collects and fuses historical maps, multi-temporal remote sensing images and laser radar point cloud data to establish a unified space-time grid reference. Then, the three-dimensional shape structure features and space-time semantic attribute features of buildings are extracted from the fused data set, and cross-modal feature deep fusion is performed by using a double-flow space-time neural network. Finally, intelligent identification and multiple verification of historical buildings are completed based on the fused features, and the structured results including a distribution map and an attribute database are output. The application effectively solves the problems of single data dimension, dependence on artificial experience and insufficient practicality of the results in the traditional method, realizes full-process automation and intelligentization of historical building identification from data perception, feature analysis to result output, and significantly improves the accuracy and efficiency of identification.

The invention discloses a skarn deep mineralized zone positioning method, which comprises the steps of generating a contact zone working area and a unique grid reference based on a contact zone geological boundary, a structure line and a common coverage range; based on the hyperspectral data, generating an oxidation thickness map and a demagnetization clue initial map; based on the oxidation thickness map and the demagnetization clue initial map, introducing a physical constraint of near-surface demagnetization caused by strong oxidation, and outputting a demagnetization risk map; constructing a depth bias function according to the demagnetization risk map, and generating joint inversion configuration; carrying out gravity-magnetic joint inversion according to the joint inversion configuration, outputting a density body and a magnetic susceptibility body, and carrying out pairing marking; the continuity of the deep preferential mineralization zone is checked, consistency verification is carried out, and preferential zone labels and low-priority zone labels are output; and the pairing marks, the priority belt marks and the low-priority belt marks are overlapped to form a hole arrangement reference graph, and suggested drilling positions and depth intervals are given in a contact belt working area. According to the scheme, the skarn mineralization zone can be stably positioned, and hole arrangement deployment can be served.

To provide a visual teaching material that improves the drawing accuracy and visual effect of a constituent pattern in a formative teaching material for experientially learning about optical illusion three-dimensional images that differ depending on the viewpoint. [Solution] This is a visual aid in which a three-sided cubic structure is assembled from cardboard, and a grid (guideline) is printed on each side of the development diagram. By using this grid as a reference for drawing the image, the user can accurately create an optical illusion with a limited viewpoint. In addition, the development diagram is designed to fit on industrial standard paper, making it easy to mass-distribute and produce in educational settings.

The invention relates to the technical field of geotechnical engineering, and particularly discloses a full-surface strain analysis method and device based on a discrete element model, and the method comprises the steps: constructing the discrete element model of a target region, and calculating the displacement data of each particle in the target region through the discrete element model when the discrete element model deforms; dividing the target area into a plurality of grids, and calculating the displacement data of each grid datum point according to the displacement data of the particles in each grid; constructing a continuous displacement field according to the displacement data of each grid datum point, and calculating a displacement gradient tensor of each grid datum point; calculating a Green Lagrange strain tensor according to the displacement gradient tensor; calculating the maximum principal strain of each grid according to the Green Lagrange strain tensor; calculating a non-uniform coefficient of the target area according to the standard deviation and the average value of the maximum principal strain of each grid in the target area; and determining an instability risk judgment result of the target area according to the non-uniform coefficient. According to the method, a stable strain result can be obtained under a relatively large deformation situation.

The application discloses a base station site selection method, system, device and storage medium. The base station site selection method comprises the following steps: calculating a 5G user migration probability based on a grid user density, a grid reference signal receiving power, a cell traffic and user information; calculating a 5G user activity index based on the grid user density, the grid reference signal receiving power, the cell traffic and the user information; calculating a competition demand imbalance index value based on a first user occupancy rate, a first grid 5G coverage rate, a second user occupancy rate and a second grid 5G coverage rate; calculating a user dissatisfaction imbalance index value, a competition synergy coefficient value, an active demand compensation factor and a migration coverage gap ratio based on the 5G user migration probability, the 5G user activity index and the competition demand imbalance index value, so as to calculate a closeness score; and performing base station site selection based on the closeness score, thereby improving the efficiency and resource utilization of the base station site selection.

A communication method, comprising: a first communication device generates compressed information of first data, and sends the compressed information to a second communication device, the compressed information comprising information of a first object, the first object being an object in a first grid chart, and the first grid chart corresponding to the first data, wherein the information of the first object comprises type information of the first object and coordinate information of a grid reference point corresponding to the first object, and the type information of the first object indicates the type of the first object. The grid reference point corresponding to the first object can be used for representing the shape of the first object. That is, shape features of the object in the grid chart are taken into account in the generation process of the compressed information, so that the compression efficiency of the first data can be improved.

The invention provides an agricultural plot-oriented space-time coding construction method and device, and belongs to the crossing field of space geocoding technology and agricultural informationization, and the method comprises the steps: receiving external input data, including agricultural plot vector data, administrative division vector and official coding / updating division data, and remote sensing image / updating image data; determining a core space coordinate point of the land parcel based on the agricultural land parcel vector and the fourth-level and eighth-level Beidou two-dimensional grid construction data; establishing an administrative and grid reference framework of the plot based on the administrative division vector and official coding / updating division data; based on an agricultural information inversion result and a three-tone classification system, time, types and extension attributes of the land parcels are extracted; on the basis of the constructed accurate positioning layer, the spatial reference layer and the attribute information layer data, performing calibration layer code construction, and generating a check code; and integrating all hierarchical codes, completing complete code construction, and outputting a final space-time code.

The present application relates to the technical field of document image tamper detection, and particularly relates to a document image tamper detection method and system. The method performs geometric correction on a document image and establishes an orthogonal pixel coordinate system, and extracts key text objects and background regions thereof; based on background texture features, a unified JPEG grid reference point and a high-frequency zero-value mask of the whole document are obtained by statistics, and the construction of a self-reference reference is realized; the grid reference and the zero-value mask are used to extract the frequency domain residual of the text region, and the frequency domain residual is converted into a binary topological graph; the noise dispersion is obtained by analyzing the connected domain distribution, and the feature dimension is converted from the energy amplitude to the geometric morphology; the key objects are grouped based on the layout coordinates, the relative reference of the group is calculated, and the tamper state is judged by comparing the difference between the noise dispersion and the reference. The present application effectively solves the problem of confusion between original content and tamper traces in metadata-free and low signal-to-noise ratio documents, and significantly improves the accuracy and robustness of detection.

The invention relates to the field of sewage treatment, in particular to a dynamic calibration and multi-agent cooperative control method for an intelligent mine water dosing system, which comprises the following steps: S1, collecting multi-source data; s2, extracting a characteristic alumen ustum image; s3, standard liquid is injected into the turbidity meter measuring pool to obtain the slope for first calibration, and second calibration is carried out through a back propagation neural network soft measurement model in combination with the feeding flow and the characteristic alumen ustum image; s4, the flow, the concentration, the turbidity and the image are input into a Gaussian mixture model to judge working conditions, and the total basic dosing amount is obtained through feedforward of a time sequence convolutional network-back propagation neural network mixture model; s5, according to the turbidity and the target deviation and the ideal floc characteristics and the actual deviation, the total compensation dosage is calculated through a fuzzy proportion-integral-differential algorithm, and the total basic dosage is adjusted; and S6, constructing a 9-grid reference ratio look-up table to obtain a reference addition ratio, outputting a correction coefficient according to a hard correction rule (cost priority, extreme dose protection and oscillation suppression), and finally calculating the addition amount of the main flocculant and the coagulant aid.

The invention discloses a touch display module anti-interference calibration method and system for the Internet of Vehicles, and relates to the technical field of touch display module anti-interference, and the method comprises the following steps: arranging a potential floating sensing band at the back of a touch panel around the infiltration force of a reverse differential pressure pulse in a touch driving channel, and when the reverse differential pressure pulse reversely permeates into the reference potential of the touch grid along the touch driving channel, the potential floating sensing belt records a lifting starting point of the reference potential, and the lifting starting point is used as a trigger signal for scanning rhythm adjustment. Interference pulses are sensed and dispersed in real time through the potential floating sensing band and the scanning rhythm buffer window, and touch scanning is kept stable; and a dual stable structure is constructed through a sampling window guardrail and a rhythm rearrangement path, so that the coordinate return continuity is ensured, a non-response empty window is effectively eliminated, and the operation reliability and the response stability of the touch display module in a complex electrical environment are improved.

The present invention discloses a method for uniform star selection using improved orthogonal grid reference points. The method includes screening a set of candidate stars based on the axis characteristics and pointing range of a horizontal telescope; initializing the positions of the orthogonal grid reference points; constructing a KD tree using the reference point positions; finding the nearest neighbor orthogonal grid reference point for each star and calculating the comprehensive evaluation weight of the star; calculating the contribution of each orthogonal grid reference point and the overall evaluation weight; using a particle swarm algorithm to find the maximum value of the overall evaluation weight to obtain the orthogonal grid reference point position that best fits the candidate star set; and selecting stars based on the distance-magnitude weighting method based on the optimal orthogonal grid reference point position to obtain a uniform star selection result. The uniform star selection method of the present invention improves the traditional orthogonal grid method, resulting in a more uniform distribution of selected stars, which facilitates telescope pointing accuracy correction and is also applicable to the selection of reference points for pointing correction of other multi-axis devices.

The application discloses a control method and system of an intelligent warehouse system based on an Internet of Things, and relates to the technical field of image processing, and comprises the following steps: defining a grid reference sub-image according to a first image of a target cargo; performing gradient operation on the first image according to a grid direction corresponding to the grid reference sub-image to obtain a grid direction gradient image; calculating a first continuous gradient intensity based on the grid direction gradient image and a second continuous gradient intensity based on the grid direction gradient image; and performing mask processing on each pixel position of the grid direction gradient image based on the first continuous gradient intensity and the second continuous gradient intensity to obtain a stripe mask mask image. The application improves the stability of cargo identity recognition and the accuracy of control decisions.

The invention discloses a manufacturing method of a functional jaw pad for temporomandibular joint disc-derived dentomaxillofacial deformity. The manufacturing method comprises the following steps: 1) determining a dentomaxillofacial deformity type of a patient; 2) determining a required condyle process moving direction; then, the condylar process positions of the uninjured side and the affected side are accurately adjusted in 3D design software; after the condylar process position is adjusted, the temporal-mandibular joint gap needs to meet the condition that the posterior gap and the anterior gap are not less than 2; the upper gap is greater than or equal to 2mm; the anterior tooth mandibular covering and the dentition midline of the patient are synchronously optimized in the condylar process moving process; 3) preparing an individualized functional jaw pad by using a 3D printing technology; and 4) realizing quantitative evaluation and safety guarantee of condyle movement through accurate adjustment of the condyle in design software and establishment of a grid reference frame. By improving the jaw position relation and the occlusion stability in advance, a better skeleton and joint foundation can be provided for postoperative tooth movement, and the recurrence risk caused by unstable joints in the orthodontic process is reduced.

The present invention relates to the field of image calibration technology, and specifically to a layered grid image auxiliary calibration system, comprising a brightness intersection screening module, a node synchronization correction module, a reference difference extraction module, a spatial offset allocation module, and a template link update module. In the present invention, by directly extracting the variation characteristics of pixel brightness, in-depth screening of image structural information is achieved, spatial nodes are immediately paired and synchronously compensated after acquisition, the spatial state between grid reference points is dynamically captured and carefully compared, the system automatically allocates spatial errors to each grid point position, parameter linkage compensation maintains the overall spatial coordination between grid points, template data is reconstructed in real time and chain mapping is performed, spatial data is continuously synchronized during the calibration process, spatial parameter correction maintains high adaptability under noise disturbance, adapts to multiple scene environments and can respond continuously and dynamically, and enhances calibration stability and data link integrity under different lighting, occlusion and non-ideal conditions.

The invention relates to the technical field of terrain surface modeling based on multi-source laser radar fusion, and particularly discloses a negative obstacle joint detection and depth estimation method in a cross-country environment, comprising the following steps: establishing a ground model based on a polar coordinate grid map; establishing a terrain segmentation method based on Gaussian process regression fitting; establishing a negative obstacle detection algorithm based on the ground reference height; establishing a negative obstacle point cloud clustering algorithm based on a radial bounded nearest neighbor graph; establishing a false alarm reducing method based on the trench crossing width and the trench crossing depth of the vehicle; according to the method, the modeling complexity and the computational complexity are reduced, and the segmentation precision of the cross-country undulating pavement is improved by utilizing the characteristics of Gaussian distribution; then, a negative obstacle point cloud detection method based on the grid reference height is provided, and a negative obstacle is detected in real time; finally, a negative obstacle false alarm reducing method is provided in combination with the moat crossing height and depth of the vehicle, and the trafficability of the vehicle is further improved.

The invention discloses a steel structure construction measurement method for building micro-vibration control, which comprises the following steps: re-checking a first-level network reference point based on a first-level network coordinate system, and carrying out adjustment; establishing a secondary net coordinate system, transposing the adjusted primary net reference point into a reference point coordinate in the secondary net coordinate system by using the BIM model of the steel structure through CAD software, and additionally arranging a secondary net control point in the construction site; a total station is erected according to the coordinates of the steel column control points in the secondary net coordinate system, a steel column assembly is installed, and the steel column assembly is adjusted; wherein the step of adjusting any steel column assembly comprises the following steps: taking a station of a total station close to the steel column assembly as an original point, and establishing a three-level net coordinate system vertical to the steel column assembly together with a first ray; the installation position of the steel column assembly is unidirectionally adjusted through steel column control points in the three-level net coordinate system; and retesting and adjusting the steel column assembly through the corresponding steel column control points in the secondary net coordinate system. The precision of steel structure construction measurement is effectively improved.

The invention provides a grid reference-based plant leaf area and nutritional status rapid acquisition method and system, and relates to the technical field of plant phenotype detection. The method comprises the following steps: flatly laying a to-be-detected leaf on a reference plate with a grid array, a two-dimensional code and a colorimetric card, and fixing the to-be-detected leaf; scanning the two-dimensional code by using a mobile terminal to enter a measurement program and acquire an image; executing geometric correction, leaf segmentation and color feature extraction in the terminal, and calculating leaf area and chlorophyll index; and establishing a color mapping model through the colorimetric card for correction, and outputting a corrected area and nutrition result. According to the invention, high-precision, low-cost and rapid detection of plant leaf area and nutritional status on a common mobile terminal is realized, and the method is suitable for field real-time measurement and crop growth monitoring.

The invention discloses a base station site selection method, system and device and a storage medium. The base station site selection method comprises the steps that the 5G user migration probability is calculated based on the grid user density, the grid reference signal receiving power, the cell flow and the user information; calculating a 5G user activeness index based on the grid user density, the grid reference signal receiving power, the cell flow and the user information, and calculating a competition demand imbalance index value based on the first user occupancy rate, the first grid 5G coverage rate, the second user occupancy rate and the second grid 5G coverage rate, calculating a user dissatisfaction imbalance index value, a competition cooperation coefficient value, an active demand compensation factor and a migration coverage gap ratio based on the 5G user migration probability, the 5G user activeness index and the competition demand imbalance index value so as to calculate a closeness score; and the base station site selection is carried out based on the close degree score, so that the base station site selection efficiency and the resource utilization rate are improved.

The invention provides a phase-locked loop control method and device of a grid-connected converter, a controller, a storage medium and the grid-connected converter. The method comprises the steps of decomposing a q-axis voltage component into a first q-axis voltage component and a second q-axis voltage component after a power grid voltage is acquired; filtering the first q-axis voltage component, and adding the second q-axis voltage component and the filtered first q-axis voltage component to obtain a target q-axis voltage component; and performing phase-locked loop control based on the target q-axis voltage component to obtain a phase-locked loop output phase angle. The phase angle output by the method not only can stably track the power grid reference, but also can quickly adapt to voltage jump, ensures that the grid-connected converter can still keep accurate synchronization with the power grid in a weak power grid scene, and avoids power abnormity or off-grid faults caused by phase angle deviation.

This application relates to a collaborative charging scheduling method and system for heterogeneous unmanned platforms. Based on a charging behavior model constructed from the charging data of each unmanned platform, a charging feature vector is determined for each platform, including charging urgency and charging duration. Based on these feature vectors, multiple unmanned platforms are divided into at least one cluster. A scheduling objective function is set to minimize the time-averaged error between the actual total load of the cluster and the grid reference load. Simultaneously, a first virtual queue representing the backlog of charging demand and a second virtual queue representing priority based on charging urgency are constructed. Based on the first and second virtual queues, the scheduling objective function, and the Lyapunov drift penalty algorithm, the charging scheduling strategy for the current scheduling slot is solved. Thus, this application achieves real-time tracking of the grid reference load without requiring precise prediction of future charging demand and load changes, while prioritizing the charging needs of unmanned platforms with high urgency.