73 results about "Area coverage" patented technology

The invention relates to a wide-area coverage area high-precision deformation monitoring method based on an InSAR technology, and the method comprises the steps: obtaining the InSAR monitoring data of a plurality of data sources for a wide-area coverage area, carrying out the registration of the InSAR monitoring data, screening interference pairs according to the coherence, carrying out the interference pair combination of a single-view complex image set obtained through registration, and obtaining a single-view complex image set; performing time sequence analysis according to the interference pair combination result to generate a time sequence interference image; performing phase filtering and phase unwrapping on the time sequence interference image; for the time sequence interference image after phase unwrapping, baseline parameters are corrected based on a nonlinear least square method, and atmospheric delay errors are corrected based on a GACOS atmospheric delay model; according to the processed image, constructing a wide-area surface deformation rate map and a preset application scene surface deformation rate map, and analyzing the spatio-temporal evolution law of the wide-area surface deformation rate map and the preset application scene surface deformation rate map; and finally, visually displaying the wide-area surface deformation rate diagram, the preset application scene surface deformation rate diagram and the spatio-temporal evolution law analysis result.

The invention relates to the technical field of intelligent control of engineering machinery, and provides a tower crane hoisting whole process dynamic mapping and sensing coverage method and system. The method comprises the following steps: respectively mounting two rotary radars on a rotatable bracket of the tower crane; the current hoisting operation stage of the tower crane is obtained in real time; switching a shooting view angle of the double-radar module according to the hoisting operation stage, and controlling the double-radar module to obtain continuous point cloud data of the corresponding operation stage; tower crane operation parameters are collected, and continuous lifting hook tracks are generated in combination with continuous point cloud data obtained by the double-radar module; identifying a dynamic obstacle and a static background contained in the target monitoring space from the continuous point cloud data, and constructing a construction environment point cloud model; performing space-time registration on the construction environment point cloud model and the physical coordinate system, and establishing a global dynamic map; and a dynamic sensing area coverage map is constructed by fusing the continuous lifting hook track and the global dynamic map, so that the real-time sensing of the space environment of the tower crane hoisting operation is realized.

The invention relates to a remote sensing data coverage screening method based on a profit value, relates to the technical field of remote sensing image data processing, and solves the technical problems of insufficient region coverage optimization, serious computing resource waste, lack of flexible screening strategies and the like in the prior art. The method comprises the following steps: step 1, preparing a data set; 2, checking attributes of the data set; and step 3, performing a region coverage algorithm. According to the remote sensing data coverage screening method based on the profit value, by designing a coverage algorithm and introducing an image quality control and consistency guarantee mechanism, the efficiency and accuracy of remote sensing image data selection are remarkably improved. According to the method, the storage and calculation burden of redundant images can be reduced, the efficiency of image coverage is maximized, and the accuracy and consistency of global earth surface coverage are ensured.

The invention provides an SAR satellite scanning mode task planning method and system for the maximum coverage rate of multiple areas, and the method comprises the steps: obtaining the geographic information, satellite load parameters and orbit information of a target area, and enabling the load parameters to comprise a continuous wave position set in a scanning mode; the population of the swarm intelligent optimization algorithm is initialized, individuals represent a task planning scheme, and individual parameters comprise a beam position set and task timing information; iteratively updating the population until a preset iteration termination condition is met, and seeking an optimal task planning scheme; and after iteration is finished, outputting an optimal planning scheme. The method effectively solves the problems that in the prior art, a task planning method for an SAR satellite scanning mode lacks, and an existing method is insufficient in the aspect of multi-target area coverage rate.

The invention relates to the field of urban traffic management and intelligent traffic, and discloses a macroscopic region division method based on urban traffic demands, which comprises the following steps: acquiring traffic node traffic demands of an urban dynamic road network, and constructing a traffic demand adjacency matrix, a degree matrix and a Laplacian matrix, utilizing a spectral decomposition method to extract aggregation degree features among the nodes; a K-means clustering algorithm is adopted to classify the node feature vectors, and a macroscopic region is preliminarily divided; gPS normalized coordinate features are introduced, node space distribution is modeled by using two-dimensional Gaussian distribution, and a comprehensive distance optimization region division result is calculated in combination with a spectral clustering feature distance; and finally, iteratively optimizing category distribution based on the comprehensive distance to obtain a macroscopic region division scheme with the minimum segmentation loss. According to the method, the rationality of traffic area division can be improved, the macroscopic area coverage range is optimized, the scientificity of traffic management is enhanced, and the urban traffic resource allocation efficiency is improved.

The invention discloses a convex area coverage path planning method and system for an autonomous sweeper, which are applied to the technical field of path planning of autonomous mobile robots, and the method comprises the steps: generating an area coverage parallel track through a self-adaptive direction track generation algorithm based on a rotary caliper; the method comprises the following steps: constructing a GTSP model based on a region coverage parallel track, and standardizing the GTSP model into an ATSP model by adopting Noon-Bean conversion; and solving the ATSP model by adopting an LKH-VNS hybrid search algorithm to obtain a path planning result. According to the method, efficient and intelligent path planning is realized through adaptive direction orbit generation, standardized modeling from the GTSP to the ATSP and collaborative optimization of the LKH-VNS hybrid search algorithm.

The invention discloses an intelligent maintenance prediction and health management system for high-altitude equipment, and relates to the technical field of high-altitude equipment management, and the key points of the technical scheme comprise the steps: collecting operation parameter values of the high-altitude equipment, and dividing a condition region of the high-altitude equipment into region division sets according to the operation parameter values of the high-altitude equipment; wherein the region division set comprises a target fault region, a first to-be-divided region and a second to-be-divided region; setting an initial steering state of the detection device according to a position relation of the region division set; the initial steering state of the detection device and the condition data in the target fault area are processed and analyzed, and the initial working state of the detection device is set; the area coverage of the target fault area towards the detection device is collected, the parameter change trend of the high-altitude equipment is detected in real time, and the effect is that a fault detection management result is obtained according to the detection work feature set of each area, and intelligent maintenance prediction is achieved.

The invention provides a fixed-wing unmanned aerial vehicle cooperative area coverage monitoring optimization deployment method. The method comprises the steps of determining an effective coverage area of multi-unmanned aerial vehicle combined area coverage monitoring according to a space detection probability of an unmanned aerial vehicle to a target and a time monitoring probability generated by operation of the unmanned aerial vehicle; determining deployment parameters of an effective coverage area according to two-machine parallel and cooperative area coverage monitoring; and according to the deployment parameters of the effective coverage area, establishing a gridding multi-machine collaborative area coverage monitoring deployment scheme taking a square as a unit. According to the invention, through the space detection probability and the time monitoring probability, the effective coverage area of multi-aircraft joint area coverage monitoring can be determined more comprehensively and accurately, theoretical support is provided for flexible application of the multi-fixed-wing unmanned aerial vehicle in area coverage monitoring scenes such as border patrol and disaster rescue, and a multi-aircraft cooperative area coverage monitoring deployment scheme has the advantages of high efficiency and high reliability. The effective monitoring area is increased, the number of used unmanned aerial vehicles is reduced, and the cooperative efficiency of the unmanned aerial vehicle cluster is effectively improved.

The invention discloses an SAR satellite strip mode task planning method, and aims to maximize the area coverage rate. According to the method, basic data containing time sequence geometric coverage primitives are obtained, and candidate planning schemes containing mixed parameters are initialized. During iterative optimization, an imaging interval is determined according to planning parameters, corresponding geometric primitives are identified, geometric merging calculation is executed to determine a planned coverage area, the area coverage performance is evaluated in combination with load constraint, and the parameters are updated by using an optimization algorithm. And outputting an optimal scheme after iteration. According to the method, through accurate geometric coverage calculation and constraint processing, the problems of inaccurate coverage estimation, incomplete constraint consideration and low planning efficiency are solved, and a feasible planning result with higher coverage rate and better performance can be quickly generated.

The invention discloses an unmanned aerial vehicle cluster multifunctional area revisit coverage method and system, and relates to the unmanned aerial vehicle technology, and the method comprises the steps: configuring the area revisit coverage parameters of an unmanned aerial vehicle cluster, and calculating an area convex hull polygon; determining a region coverage direction according to the calculated length direction of the region convex hull polygon; based on the area coverage direction, segmenting the to-be-covered area to obtain a plurality of to-be-covered sub-areas and corresponding coverage directions; determining an initial path point and a termination path point of the to-be-covered sub-region based on each to-be-covered sub-region and the corresponding covering direction; and calculating a cooperative revisit coverage path according to the initial path point and the termination path point of the to-be-covered sub-region. The invention provides a multi-group, multi-angle and multi-region unmanned aerial vehicle cluster revisit coverage route planning scheme based on region segmentation.

A system and method that automatically monitors product use, such as the type and amount of agricultural and / or horticultural product stored in and dispensed from a cartridge over time and / or by geographic location. Monitored data are stored in memory such as a tag on the cartridge and may be transmitted to a server for storage, aggregation, and analysis. The cartridge may be authenticated before being authorized for use for the benefit of a current user in dispensing the product. The cartridge may be refilled after confirmation of authorization codes on the cartridge and refilling equipment tags. The cartridge may be calibrated automatically based on the bulk density or other parameter of the product in the cartridge. Data may be aggregated from a plurality of cartridges automatically. As-applied data from individual cartridges may be used to verify, independent of operator input, treated area coverage and product application rate.

The application relates to the technical field of intelligent control of engineering machinery, and provides a tower crane hoisting whole-process dynamic mapping and perception coverage method and system. The method comprises the following steps: installing two rotating radars on rotatable supports of a tower crane; acquiring a current hoisting operation stage of the tower crane in real time; switching the shooting angles of the two radar modules according to the hoisting operation stage, and controlling the two radar modules to acquire continuous point cloud data of the corresponding operation stage; collecting tower crane operation parameters, combining the continuous point cloud data acquired by the two radar modules to generate a continuous hook trajectory; identifying dynamic obstacles and static backgrounds contained in a target monitoring space from the continuous point cloud data, and constructing a construction environment point cloud model; performing space-time registration on the construction environment point cloud model and a physical coordinate system, and establishing a global dynamic map; fusing the continuous hook trajectory and the global dynamic map to construct a dynamic perception area coverage map, and realizing real-time perception of the space environment of the tower crane hoisting operation.

The present disclosure is directed to methods and systems for tuning a wireless network propagation model. A propagation model system can generate a nominal propagation model of a coverage area using collected geographical data and network equipment information. The nominal propagation model can provide a representation of the wireless network and coverage areas. The propagation model system can continuously calibrate the generated propagation models with continuous wave data and crowdsourced data from user devices. The crowdsourced data can provide a real-time representation of the coverage capability in an area as the terrain and clutter in an area can change.

The invention relates to an air route planning method for multi-machine area coverage search based on an improved K-Means algorithm. The method comprises the following steps: using an improved mixed K-Means clustering division strategy; the method comprises the following steps: dividing a target area into a plurality of sub-areas, taking projection points of a starting point and an ending point of multi-unmanned aerial vehicle cooperation at the boundary of the target area as fixed clustering centers, automatically selecting initial values of other clustering centers, and determining a polygonal boundary of the sub-area corresponding to each clustering center based on all the clustering centers; on the basis of preset unmanned aerial vehicle path parameters and polygon boundary information, generating a broken line type coverage path with the minimum total cost for each sub-region, and obtaining a path point sequence of each sub-region; and for the path point sequence of each sub-region, according to a minimum turning radius constraint condition, obtaining a smooth airway path satisfying kinematics constraint. According to the method, the technical problem that the adaptability is insufficient due to the fact that the coverage integrity cannot be guaranteed and path flight cannot be considered in the existing scheme is solved.

The application provides a full-area coverage path planning method and device for a mowing robot, a terminal and a medium. The method comprises the following steps: abstracting an environment map by setting a virtual boundary line of one or more target mowing areas; determining a long-axis direction of a bow shape for each target mowing area and rotating each target mowing area; dividing the one or more target mowing areas into one or more sub-areas based on the boundary points of the rotated target mowing areas; performing path planning for each target mowing area based on the long-axis direction of the bow shape of the target mowing area; and connecting the bow-shaped paths of the target mowing areas based on a navfn algorithm to obtain a full-area coverage path corresponding to the environment map. The application can realize full-area coverage path planning, has a high coverage rate even for a complex mowing area, has a low repetition rate, and greatly increases the path planning efficiency of the mowing robot.

This invention relates to a multi-satellite joint regional coverage planning method based on an improved multi-objective evolutionary algorithm, comprising the following steps: decomposing the area to be covered into discrete strip sets of all remote sensing satellites based on the imaging conditions of each satellite; binary encoding the strips in the discrete strip sets, using all encoded individuals as input to the improved multi-objective evolutionary algorithm, which employs a combination of the NSGA-III and S-CDAS algorithms to achieve an extreme solution preservation mechanism; constructing a multi-objective optimization model composed of multiple objective functions, and solving the multi-objective optimization model using the improved multi-objective evolutionary algorithm to obtain the regional coverage result. The improved multi-objective evolutionary algorithm in this invention can preserve extreme solutions, thus achieving satisfactory regional coverage results, and can also optimize the rationality of the regional coverage scheme from other objective dimensions.

The invention provides a message relay forwarding method based on vehicle-road cooperation, and aims to solve the problem that RSU (road side unit) or OBU (on-board unit) cannot effectively receive target information due to shielding, signal interference and other factors. The method comprises the following steps: firstly, comprehensively evaluating the communication quality of peripheral communication equipment to obtain key indexes including signal strength (RSSI), signal-to-noise ratio (SNR), bit error rate (BER) and the like; and screening out a reliable vehicle list of which the communication quality meets the requirement based on an evaluation result. And then, a K-means clustering algorithm is adopted to perform clustering processing on surrounding reliable vehicles, and a clustering number range (such as 1-K) is limited, so that the effectiveness and coverage rationality of a clustering result are ensured, and over-scattered vehicle distribution is avoided. In each cluster, a vehicle located or closest to the cluster center is selected as a relay node, and the relay node broadcasts target information, so that message diffusion in each cluster coverage area is efficiently realized. According to the mechanism, the area coverage capability and the service reliability of the target information are remarkably improved.

This invention provides a method for optimizing unmanned surface vessel (USV) area coverage paths based on constrained reinforcement learning, belonging to the technical field of autonomous navigation and path planning for marine unmanned systems. Each USV acts as an intelligent agent, and the USV area coverage path optimization problem is modeled as a constrained Markov decision process. The constraint condition is that the difference between the optimized path and the planned path is within a preset area. The reinforcement learning framework consists of: a policy network outputting an action probability distribution based on the current environmental state; a reward evaluation network evaluating the expected rewards of states and actions; and a cost evaluation network evaluating the expected cumulative cost of state-action pairs. With the goal of maximizing policy entropy and expected rewards, the penalty strength of the cost constraint is dynamically adjusted using Lagrange multipliers, jointly optimizing the policy network, reward evaluation network, and cost evaluation network. The minimum coverage requirement is modeled as a hard constraint condition for policy optimization, ensuring navigation safety and the integrity of the mission area coverage.

This invention relates to a method, device, and medium for multi-agent coverage search and task allocation path optimization. The specific method includes: scenario construction and problem description, which describes the characteristics of the task area, the attributes of agents and targets, and clarifies the area coverage search problem and the target task allocation problem; area coverage model design, which establishes a minimum task time model objective function and constraints, and then solves the area coverage model; and task allocation strategy and path planning algorithm, which, considering agent speed and target attributes, combines a greedy strategy and a genetic algorithm to allocate target exploration tasks to agents, optimize target exploration paths, and reduce total task time. Compared with existing technologies, this invention improves the efficiency of marine area search and target exploration through multi-agent cooperation, achieving full area coverage search and accurate target exploration.

The invention provides a high-precision troposphere delay modeling method, device and equipment under a sparse GNSS (Global Navigation Satellite System) site, and belongs to the technical field of spatial scientificity, and the method comprises the steps: calculating an initial ZTD (Zero Time Division) value of a real GNSS site through a first preset empirical model, constructing a ZTD residual time sequence by combining a GNSS actually measured ZTD value, analyzing a periodic signal, constructing a residual model to obtain a ZTD residual, and calculating the ZTD residual according to the ZTD residual. Further obtaining a ZTD improved value of the GNSS real station; based on a second preset empirical model in which an error correction term is introduced, virtual sites are arranged in the sparse region, and ZTD values of the virtual sites are generated; performing weighted fusion on the real and virtual ZTD values through a variance component estimation method to obtain a unified ZTD observation data set; and adopting spherical crown harmonic analysis to solve the adaptation coefficient, constructing a continuous ZTD model, outputting full-region data, and generating a high-resolution and high-precision ZTD map. According to the method, the defect that sparse GNSS station data coverage is insufficient is effectively overcome, and troposphere delay modeling precision, space continuity and area coverage integrity are remarkably improved.

The invention discloses a visual marking method and equipment based on fusion positioning, and a medium, belongs to the technical field of airport scene monitoring and management, and aims to solve the problems that the recognition accuracy is reduced, the high computing power requirement is needed, the real-time monitoring adaptability is poor, and the recognition efficiency is high due to the fact that existing airport scene monitoring is easily shielded by vision. And accurate geographical location information is difficult to obtain. The method comprises the following steps: performing coverage calculation of a maximum monitoring area on a visible area on an airport map to obtain a polygonal visible area; acquiring positioning terminal signals of key equipment and workers in an airport range; carrying out conversion processing of related camera point locations on a real-time geographic coordinate system in the real-time position information to obtain a camera coordinate system; performing conversion processing on the camera coordinate system to obtain a two-dimensional image coordinate system; mapping the two-dimensional image coordinate system into a polygonal visible area; and performing shielding labeling display on part of shielding targets in the initial labeling display information to obtain fused labeling display information.

The invention belongs to the technical field of collaborative interception guidance, and particularly relates to a bias differential game collaborative interception method based on region coverage. The method comprises the steps of establishing a probability distribution model of a target in an interception plane, performing Monte Carlo sampling, and converting a coverage strategy design into an optimal coverage problem of a finite center point in the interception plane; segmenting, iteratively solving the standard maneuver of each interceptor through a Voronoi diagram method to obtain the standard maneuver aTsi of each interceptor; and based on the standard maneuvering aTsi of each interceptor, deploying to a corresponding optimal array position and carrying out offset item design of a differential game guidance law to jointly realize the offset of the coverage range of each interceptor, and finally completing the optimal coverage and interception of the target. According to the method provided by the invention, the defects that an existing disc coverage model has limitation on maneuvering distribution simplification and only a fixed solution can be applied mechanically are overcome; the miss distance and the overload demand of the interceptor are obviously reduced, and the interception efficiency is improved.

This invention discloses a method for optimizing the layout of airport noise monitoring points based on a genetic algorithm. The method involves dividing the monitoring area into grids based on a noise prediction contour map; calculating the distance from any point within the monitoring area to the monitoring point; defining the probability of whether a point is covered by a monitoring point; calculating the sensing probability based on distance and monitoring point reliability parameters; establishing a joint sensing probability model and calculating the area coverage rate; setting a coverage rate optimization objective function; introducing multi-objective constraints; and using a genetic algorithm to optimize the comprehensive benefit function. A dynamic point quantity control mechanism is introduced to gradually reduce the number of monitoring points, outputting a simplified monitoring point layout scheme while maintaining the coverage rate above a set threshold. The optimization process of this invention fully incorporates the actual airport point layout constraints, reducing the number of monitoring points and prioritizing the elimination of redundant points, while maintaining a relatively stable overall coverage rate, significantly reducing equipment installation, maintenance, and data processing costs.

The invention relates to a UUV coverage path energy efficiency optimization method and an offshore surveying and mapping system, and the method comprises the following steps: obtaining a satellite remote sensing image, multi-beam sounding data and underwater topographic data of an offshore region, recognizing a sea-land boundary contour, and constructing an offshore seabed three-dimensional surveying and mapping region model; a UUV energy consumption model is constructed, a surveying and mapping area coverage rate maximization and total energy consumption minimization are taken as targets, a surveying and mapping area model is combined, an intelligent optimization algorithm is adopted to carry out global path planning, and a UUV surveying and mapping operation path is determined; the underwater environment is monitored in real time through a sensor carried by the UUV, whether an original planned path is feasible or not is judged, and when the original planned path is not feasible, local path re-planning is carried out by taking minimization of extra energy consumption as a target and adopting an improved path search algorithm. Compared with the prior art, the method has the effects of improving the accuracy and integrity of a surveying and mapping area, reducing the energy consumption of the UUV, improving the surveying and mapping efficiency and the like.

Embodiments of the present application provide a map processing method, device and self-moving equipment. The map processing method comprises: acquiring at least one of working state information of a current working process of the self-moving equipment in a working area and a real-time obstacle map, the working state information comprising at least one of positioning quality and working area coverage rate, the real-time obstacle map being obtained based on real-time images collected in a moving process; determining whether to update at least one of an original visual feature map and an original obstacle map used by the self-moving equipment according to at least one of the working state information and the real-time obstacle map, the original visual feature map being used for positioning of the self-moving equipment in the working area, and the original obstacle map being used for path planning of the self-moving equipment; if the update is needed, acquiring an image frame of the working area, and updating at least one of the original visual feature map and the original obstacle map using the image frame. The method can update the map in time.

The application discloses a kind of based on machine vision's magnetic force polishing state detection method, equipment and medium, it is related to surface processing quality control technical field, including the dynamic image of the contact area of magnetic brush and workpiece is collected, obtains the image sequence of the contact area of magnetic brush and workpiece, extracts and smooths the upper boundary of magnetic brush, constructs the time series of upper boundary disturbance rate of magnetic brush;Magnetic brush trajectory coverage heat map is constructed, under-coverage, over-coverage and normal coverage area are divided, and area coverage index is calculated;Fusion upper boundary disturbance rate time series of magnetic brush and area coverage index, construct magnetic force polishing state feature vector, train random forest model, generate real-time magnetic force polishing risk grade label, adjust magnetic field intensity, obtain magnetic brush polishing supplement point set, generate magnetic brush polishing supplement trajectory.Magnetic force polishing process is quantified tracking in real time to the disturbance state, accurately identify magnetic force polishing state and implement regional compensation, improve polishing quality and process stability.

The present invention discloses a method and device for regional coverage of a satellite cluster to achieve remote sensing tasks in collaboration, and relates to the field of satellite remote sensing technology. In the method, after the satellite detects the mission area, it establishes a first coverage map, and when an obstacle is detected, it releases pheromones at the location of the obstacle to mark the obstacle, and then generates a first pheromone map based on the location of the obstacle and the release time of the pheromone. The satellite can establish communication with other satellites within the communication range, and the first coverage map and the first pheromone map are updated based on the map obtained by the communication to obtain a third coverage map and a third pheromone map. The third coverage map and the third pheromone map are then combined to determine the uncovered area of ​​the satellite cluster, and the target area is selected from the uncovered area as the next coverage area of ​​the satellite, so as to solve the technical problems of low coverage rate and high repeated coverage rate caused by the inability to efficiently avoid unknown obstacles and uncovered areas in the current multi-satellite collaborative coverage technology.

The invention discloses a method for generating a satellite communication beam. The method comprises the following steps: acquiring boundary coordinates of a target geographic corridor and converting the boundary coordinates into satellite angular domain representation; extracting a skeleton curve of a corridor based on the angular domain boundary, and establishing a parameterized beam pattern model distributed along the skeleton curve; constructing a beam forming weight optimization problem which comprises a coverage gain constraint distributed along the skeleton curve and a continuity constraint between adjacent sampling positions on the skeleton curve; and solving the optimization problem to obtain a complex weight vector, and loading the complex weight vector to the beam forming network to drive the phased-array antenna. According to the invention, dimension reduction is carried out on a two-dimensional area coverage problem through skeleton curve modeling, and stable energy transition of a wave beam along a curved corridor is ensured by utilizing a continuous constraint explicit mode, so that the problems of difficult optimization convergence and discontinuous coverage in long and narrow non-convex area coverage are effectively solved.

The invention discloses a uranium mineralization zone identification method and system based on multi-source remote sensing data fusion, and relates to the technical field of geological exploration, and the method comprises a multi-source data obtaining module which obtains multi-platform and multi-band remote sensing data, and the remote sensing data comprises optical remote sensing data, microwave remote sensing data and auxiliary data; constructing a uranium ore zone feature database based on the remote sensing data; the data preprocessing module is used for carrying out noise elimination, atmospheric interference removal and geometric distortion correction on the remote sensing data; the feature extraction and fusion module is used for extracting uranium mineralization zone sensitive features from the preprocessed multi-source data and carrying out cross-modal fusion, and the cross-modal fusion comprises feature layer fusion and decision-making layer fusion; an anomaly detection and geological analysis module; a result output and verification module; according to the method, all-weather, total-factor and non-blind-area coverage of a complex terrain area can be achieved, the exploration range is not limited to roads and gentle zones any more, and the coverage rate of a potential metallogenic zone is increased.

The present invention discloses a method for quickly calculating the coverage of a constellation to a target area on the ground. This method addresses the problems of a large number of satellites, a large amount of coverage calculation, and low calculation accuracy, and designs a calculation method that can quickly locate relevant satellites, quickly calculate coverage, and maintain high accuracy. First, satellite orbit recursion is performed, and satellites related to the target area are quickly located based on a dichotomy method. Secondly, the satellite's beam coverage area to the ground is calculated based on the satellite payload type. Finally, the beam coverage area is abstracted into a planar polygon, and the intersection of the satellite's beam coverage strip polygon to the ground and the ground target area polygon is calculated to quickly calculate the satellite's coverage of the ground target area. Addressing the problems of a large number of satellites, a large amount of coverage calculation, and low calculation accuracy, the present invention can quickly locate relevant satellites, quickly calculate coverage, and maintain high accuracy.