54 results about "Thematic map" patented technology

The invention discloses a plateau mountain road disaster identification method and system based on multi-source remote sensing image restoration and super-resolution reconstruction. The method comprises the following steps: acquiring and preprocessing a multi-source remote sensing image of a plateau mountain region, and extracting landform measurement parameters based on a digital elevation model; a super-resolution reconstruction network fusing deformable convolution and Transform is constructed, and a low-resolution image is reconstructed by using constraint training of a composite loss function containing geomorphic measurement parameters; performing feature extraction and adaptive weighted fusion on the preprocessed image and the reconstructed high-resolution image; based on the fused image, utilizing a multi-task deep learning model to identify landslide, debris flow and roadbed subsidence disasters along the highway; and carrying out morphological optimization and boundary refinement under GIS constraint on an identification result, and outputting a disaster thematic map. According to the invention, the precision and reliability of road disaster identification in a complex terrain environment are effectively improved.

The invention discloses a distribution network intelligent mapping modeling and analysis system and method based on a topology model, and relates to the technical field of distribution network mapping, and the modeling and analysis system comprises a data source module which is used for obtaining distribution network basic data; the data processing module is used for converting the equipment model data and the topological relation data into graph-forming connecting line relation structure data, calculating the equipment graphic element size, the station building pixel size and the graph-forming canvas size, and assembling station building internal equipment interval data; determining arrangement coordinates of the equipment in the canvas by adopting a force-oriented layout algorithm; assembling interval data of equipment in the website room according to the equipment topology association relationship group, and calculating the arrangement spacing of the equipment in each interval; the whole process automation of the distribution network thematic map from data to map formation is realized, and the drawing efficiency and accuracy are greatly improved; through force-oriented layout and a multiple optimization algorithm, a graph which is reasonable in layout, clear and easy to read is generated; and the consistency and linkage of the graph and the data source are ensured.

The invention belongs to the technical field of information remote sensing, and particularly discloses a port and bridge large-scale target thematic map generation method based on an SAR technology, and the method comprises the steps: obtaining multi-temporal synthetic aperture radar image data of a port region, processing the original signal intensity distribution of the image data through denoising and filtering, and obtaining a smoothed scattering intensity map; according to the scattering intensity graph, extracting echo amplitude and phase information of a target area, fusing multi-polarization channel data, and determining a scattering characteristic parameter set; grouping the scattering characteristic parameter set based on a clustering algorithm, and separating preliminary clustering results of facility classes and residue classes to obtain feature vector representation; matching the feature vector representation with a stored shape template according to a pre-established feature database; the objective of the invention is to solve the problem in the prior art that environment management is difficult to accurately position a business scene due to mixed distribution of facilities and residues in a port area.

The invention provides a road network ecological bearing capacity estimation method and system based on multi-source remote sensing data, and relates to the technical field of remote sensing technology and ecological evaluation. The method comprises the following steps: acquiring a multispectral remote sensing image and ecological system basic data for preprocessing; supervising and classifying the remote sensing image to extract linear ground feature pattern spots and construct a topological relation to obtain road network topological structure data; associating the historical traffic flow statistical data with the road network space and performing interpolation to generate day and night noise spatial and temporal distribution data; extracting habitat distribution data based on the habitat type thematic map and the historical field survey point of the species, and obtaining acoustic sensitive threshold data of the species in combination with behavior experiment records; according to the method, noise spatial-temporal distribution data and habitat distribution data are superposed, noise data in a habitat range are screened out, then the noise data are compared with an acoustic sensitive threshold pixel by pixel, the total area of pixels exceeding the threshold is counted to serve as a road network ecological interference index, and accurate estimation of road network ecological interference is achieved.

The invention relates to the technical field of urban hydrological simulation. The invention discloses an urban community surface ponding simulation method considering a roof structure, and the method comprises the steps: obtaining a regional multi-angle picture through an oblique photography unmanned plane, generating an oblique photography model through image processing, and reconstructing a digital surface model according to the oblique photography model; ground data are separated from the DSM through a PMF method, roof data are extracted in combination with building features, mask data are output, other ground features are removed, and building roof elevation grid data are obtained; calculating the gradient of the roof, dividing the gradient into flat and sloping roofs, building drainage structures into roof drainage models, integrating the roof drainage models with the urban community hydrological model considering the roofs, and running to realize surface ponding simulation. The method comprises the following steps: building a high-precision model through an oblique photography unmanned aerial vehicle and a GIS, separating ground data through a PMF, and accurately dividing a flat / slope roof through median filtering and an SVM; special drainage structures are arranged for the two types of roofs; and integrating the roof drainage model and a two-dimensional coupling hydrological model, and outputting an accumulated water thematic map.

The invention discloses an intelligent automatic drawing system and method, and relates to the technical field of agricultural remote sensing monitoring. The method comprises the following steps: acquiring a multi-temporal remote sensing image of a farmland area, performing preprocessing and spatial alignment, dividing the farmland into spatial units, extracting time sequence spectrum and vegetation index characteristics of the spatial units, and forming a visual characteristic vector sequence; analyzing the sequence by using unsupervised clustering, and automatically identifying the time sequence evolution trajectory categories representing different growth states; and finally, the system automatically marks the space units which are judged to be abnormal categories on a map, generates early warning and outputs a farmland abnormity thematic map. The system comprises a data preprocessing module, a data preprocessing module, a track classification module and an abnormal graph generation module. According to the invention, full-automatic and intelligent dynamic monitoring and abnormity identification of the farmland growth state are realized, the limitation of traditional single-temporal analysis or artificial visual interpretation is overcome, and the monitoring efficiency and objectivity are significantly improved.

The invention provides an intelligent query method and device based on a thematic map, and relates to the technical field of artificial intelligence. And inputting the thematic map and the text query instruction into the multi-modal expert model to obtain a target query result output by the multi-modal expert model. According to the intelligent query method based on the thematic map, on the basis that the thematic map is accurately analyzed, comprehensive perception and analysis of the space environment are improved, and efficient and accurate thematic map query is achieved.

The invention relates to a method, a device, equipment and a computer program product for controlling a robot. The method includes acquiring a basic map indicating information of an environment where the robot is located and a thematic map indicating control attributes. The method further includes determining a value of a control attribute associated with the pose based on the pose of the robot and the thematic map. In addition, the method includes controlling the robot based on the base map and the value of the control attribute. In this way, the thematic map can have additional control attributes which are not possessed by the basic map, so that the robot can be controlled to execute various additional functions. When a new function is expanded, a new thematic map can be overlaid on the basis of the basic map without modifying the basic map, so that the complexity of expanding the new function can be reduced.

The invention belongs to the technical field of mine geological disasters, and particularly relates to a coal mine area surface collapse damage degree evaluation and prediction method. According to the method, through field geological survey and data collection, a coal mining ground collapse land damage degree evaluation classification and grading standard is established, and the current situation of the ground collapse land damage degree of a mined working face is evaluated; carrying out statistics on drilling data in the surface collapse influence range of the mined working face, and establishing a Fisher discrimination model by taking the land damage degree of the surface collapse of the mined working face as a discrimination result; and finally, counting all drilling data of the mining area, applying the data to the established Fisher discrimination model, and predicting the damage degree of the mining area coal mining ground collapse land. A factor thematic map is established according to a GIS spatial analysis method, and a ground collapse land damage degree map is obtained according to a judgment prediction result, so that accurate and reliable quantitative prediction of the coal mining ground collapse land damage degree of a to-be-mined area of a coal mine area is realized.

The invention discloses an intelligent recommendation method and device for thematic map knowledge and electronic equipment, and relates to the technical field of thematic maps. The method comprises the following steps: constructing a multi-dimensional feature matrix according to multi-dimensional information of a thematic map; performing dynamic demand analysis on the target user according to the real-time interaction behavior data of the target user and the thematic map and the multi-dimensional feature matrix to obtain a real-time demand vector of the target user, matching each piece of knowledge in a preset knowledge base of the thematic map in combination with the multi-dimensional feature matrix to obtain a matching parameter of the target user for each piece of knowledge, and sending the matching parameter to the thematic map. And determining target knowledge and pushing the target knowledge. According to the method, traditional single-dimensional information is replaced by the multi-dimensional matrix, the matching degree of each piece of information in the knowledge base and the real-time demand of the user is dynamically judged through the multi-dimensional feature matrix, and the knowledge matched with the real-time demand of the user is screened out and pushed, so that the accuracy and diversity of thematic map knowledge recommendation are improved, and the user experience is improved. And the dynamic adaptability is enhanced.

The application discloses a kind of based on topology model's distribution network intelligent mapping modeling and analysis system and method, it is related to distribution network mapping technical field, modeling and analysis system, including data source module, for obtaining distribution network basic data;Data processing module is used to convert equipment model data and topological relation data into mapping connection relationship structure data, calculate equipment graph element size, station building pixel size and mapping canvas size, assemble distribution network equipment interval data;Determine the arrangement coordinate of equipment in canvas using force-directed layout algorithm;According to equipment topological correlation, assemble distribution network equipment interval data, calculate the arrangement distance of equipment in each interval;Realize the whole process automation of distribution network thematic map from data to mapping, greatly improve drawing efficiency and accuracy;Through force-directed layout and multiple optimization algorithm, generate layout reasonable, clear and easy-to-read graphics;Ensure the consistency and linkage of graphics and data source.

This invention provides a method, apparatus, and server for automatically generating primary wiring diagrams of substations, relating to the technical field of automatic mapping and layout calculation of power grid thematic maps. The method includes: acquiring equipment information and equipment topology connection information of a target substation; using the primary equipment information to determine the operating unit to which the target primary equipment belongs in the target substation, and using the operating unit to perform an overall layout of the target substation, obtaining a primary equipment layout diagram; using the secondary equipment information to perform a secondary layout of the target substation, obtaining a secondary equipment layout diagram; and using the equipment topology connection information to perform graphic stitching processing on the primary and secondary equipment layout diagrams, obtaining the target wiring diagram. This invention, by automatically generating primary wiring diagrams of substations, can significantly improve the generation efficiency of substation wiring diagrams and enhance the timeliness of graphic updates.

This application provides a multi-scale island and reef remote sensing image mosaic mapping method, which can be applied to the fields of geographic information science and remote sensing big data processing technology. The method includes: acquiring island and reef image files corresponding to each island and reef in a target area; the island and reef image files are high-resolution remote sensing images that have undergone cloud removal processing and are cropped according to a buffer distance, with the geometric center of the island and reef as the reference; based on the spatial display scale corresponding to the buffer distance, stitching together the island and reef image files of all islands and reefs in the target area to generate an image mosaic map; generating a vector index map that corresponds one-to-one with the geometric position of the image mosaic map, the vector index map containing island and reef identification information of the corresponding geometric position of the island and reef; and superimposing the vector index map onto a predetermined area of ​​the image mosaic map to generate a standardized island and reef thematic map of the target area. This application also provides a multi-scale island and reef remote sensing image mosaic mapping device, equipment, and storage medium.

The invention provides an earthquake scene simulation system and method and computer equipment, and relates to the technical field of earthquake emergency. The system comprises a natural language interaction layer, a central scheduling module, a multi-source data fusion layer, a professional calculation layer and a visualization and decision support layer. The earthquake scene simulation system receives a natural language instruction based on a natural language interaction layer under the condition of earthquake scene simulation; the central scheduling module is used for sequentially sending trigger instructions to other levels of the system based on the structured instruction; the multi-source data fusion layer is used for querying seismic data and obtaining a unified seismic feature data set based on association integration of a knowledge graph; the professional calculation layer is used for generating a structured decision scheme and determining seismic intensity and seismic loss evaluation results; and the visualization and decision support layer is used for constructing a city-level three-dimensional scene and generating multi-class earthquake thematic maps. The system can improve scientificity and timeliness of earthquake disaster response decisions.

This invention discloses an automated fusion method and system for suspended sediment concentration from multi-source ocean color satellites, belonging to the field of marine remote sensing and geographic information processing technology. The method includes: S1, automatically identifying and reading the original satellite data file; S2, processing the quality labeling data to generate a comprehensive quality mask in one go, and marking invalid values ​​for the concentration data; S3, resampling all valid pixels onto a predefined regular geographic grid, calculating the cumulative concentration and pixel count of each grid cell to obtain the grid mean; S4, stacking multiple grid data from the same region and time window along the time axis, and performing spatiotemporal fusion using the median robust averaging method or the minimum value synthesis method; S5, automatically generating a standard raster file and a thematic map containing geographic features and embellishment information based on the fused data. This invention solves the problems of fragmented processing, low efficiency, and insufficient accuracy in existing technologies.

This invention discloses a spatial planning collaborative management system based on multi-plan integration, belonging to the technical field of geographic information technology and collaborative office systems. The system includes a data acquisition module that receives and structurally stores user-submitted spatial planning scheme data and generates a process record package; a map construction module that constructs a version evolution map using the initial version of the spatial planning scheme data as the root node; an analysis module that responds to user version comparison commands, generates a thematic map of spatial differences in planning, and generates a comparison report of differences in planning text; and a backtracking module that, based on the thematic map of spatial differences in planning and the comparison report of differences in planning text, performs a reverse traversal along any target sub-version node in the version evolution map towards the root node, generating a complete traceability report. This invention, by automatically generating a traceability report containing a complete operational chain, provides a precise and reliable chain of evidence for clarifying the responsibility for each modification and the basis for decision-making.

The invention relates to a territorial space land use refining method, device and equipment and a storage medium, and belongs to the technical field of geographic information systems and territorial space planning, and the method comprises the following steps: obtaining multi-source spatial data; carrying out data reclassification, and establishing a mapping relation between the original category of the POI and a land use sea classification standard for the land and the land space; performing coordinate system unified conversion and standardized preprocessing on the multi-source spatial data; generating a territorial space planning basic unit based on the business data; the AOI planar evidence and the re-classified POI punctiform evidence are fused, and the comprehensive evidence intensity of different land use types in each planning basic unit is calculated; determining the land use type of each planning basic unit by combining a multi-threshold judgment mechanism with a spatial neighborhood smoothing algorithm; and outputting a land use identification result and generating a land use thematic map for land space planning. According to the method, the accuracy of land use identification, the hybrid function identification capability and the spatial rationality of the result are effectively improved.

The invention provides a method and device for generating an electronic map system based on a paper map set and computer equipment, and relates to the technical field of map services. The method for generating the electronic map system based on the paper map set comprises the following steps: acquiring initial sheet scanning copies of a plurality of paper maps in the paper map set; splicing the plurality of map sheet scanning pieces to obtain a map scanning spliced image; performing functional region division on the map scanning spliced image to obtain a plurality of map functional regions in the map scanning spliced image; performing optical character recognition on each map functional area in the map scanning and splicing image to obtain a character recognition result of each map functional area; constructing a thematic map knowledge graph of the paper map set according to the character recognition results of the plurality of map functional areas; and according to the thematic map knowledge map, constructing an electronic map system with a preset map knowledge service. According to the method, the data processing precision is improved, time-space association is established, and an electronic map system with a Web end interaction function is generated.

The invention, which relates to the technical field of forestry pest control, discloses a multi-technology cooperation-based green prevention and control method and system for Penicilidae, and the method comprises the steps: obtaining high-definition image data of a forest region through aerial photography of an unmanned aerial vehicle, carrying out spatial analysis in combination with an ArcGIS technology, and generating a pest distribution thematic map; on the basis of pest development duration observation data and meteorological data, an occurrence period and occurrence amount prediction model is constructed, and the pest occurrence trend is predicted; performing prevention and control operation planning and design by applying an ArcGIS and an Ovoucher map, wherein the prevention and control operation planning and design comprises prevention and control area division, operation route planning and agent dosage calculation; according to the prediction result and the operation design, implementing grading prevention and control strategies including forestry prevention and control, biological prevention and control and chemical emergency prevention and control; and carrying out prevention and control effect dynamic evaluation by adopting an Otwei map and a today watermark camera, wherein the evaluation comprises insect decline rate and prevention and control cost calculation. By constructing a set of multi-technology collaborative closed-loop prevention and control system, early recognition and accurate intervention of insect pests can be realized.

The invention discloses a radar jigsaw and map superposition display method and system, and relates to the technical field of meteorological radar jigsaw, and the method comprises the steps: carrying out the information extraction of a radar jigsaw sequence of meteorological data, and obtaining a pure radar thematic map sequence and a preliminary base map sequence; performing pixel-by-pixel combination on all the preliminary base maps in the preliminary base map sequence to obtain a complete base map; extracting coverage type elements in the radar jigsaw sequence based on color filtering, and generating a coverage layer; calculating a difference matrix of the radar jigsaw sequence and the complete base map based on a matrix difference method, and generating a binary mask map sequence based on the difference matrix; generating a refined radar map based on the binary mask map sequence and the pure radar thematic map sequence; performing coverage area correction on the refined radar map based on the coverage map layer to obtain a corrected radar map; and performing geographic coordinate registration on the corrected radar map, and superposing the corrected radar map on a target map. According to the invention, the technical problems of low efficiency and insufficient precision in the prior art are solved.

The invention relates to an atmospheric environment thematic map drawing method and device, and relates to the technical field of image drawing, and the method comprises the steps: obtaining model output data of a target numerical model; a first thematic map frame is determined on a geographic base map based on the latitude and longitude coordinates corresponding to first positioning grid points, and the first positioning grid points are grid points used for positioning the first area range in the multiple grid points; and drawing in the first thematic map frame based on the latitude and longitude coordinates corresponding to each grid point in the first area and the simulation result to obtain a first atmospheric environment thematic map. In this way, even if the area range configured by the numerical model changes, a new thematic map frame can be automatically determined according to the new area range, compared with a manual cutting mode, the efficiency is high, the method is more flexible, the automatic process from model processing to area cutting to final thematic map drawing is achieved, human errors are avoided, and the efficiency is improved. And the accuracy of thematic map drawing is improved.

This invention discloses an interactive logistics route configuration method, apparatus, and server based on topological relationships. The method includes: establishing topological relationships among logistics elements, wherein the logistics elements include logistics point elements and logistics line elements, and the topological relationships among logistics point elements and logistics line elements are also included; configuring logistics route function interfaces for establishing interfaces for querying logistics element graphical information, topological relationships, path information segmentation, and recommended route configuration; and configuring interactive visualization of logistics routes for loading logistics thematic map information and realizing the visualization of route configuration lists linked with the map. This invention solves the problem of interactive visualization configuration of logistics transportation routes within factories or industrial parks, and has the advantages of simple and convenient implementation, good interactive effect, and good visualization effect.

The invention relates to the technical field of mineral resource prediction and exploration, and particularly discloses a desert region magma hydrothermal iron polymetallic ore intelligent prediction method based on multi-source data fusion and machine learning, and the method comprises the following steps: S1, collecting and preprocessing multi-source prospecting data; s2, multi-source data vectorization and thematic map generation are carried out; s3, graying and standardizing the multi-source vector data; s4, multi-feature data set construction and feature optimization are carried out; s5, training and optimizing a machine learning model; s6, predicting a metallogenic prospective area and interpreting geology; according to the method, for magma hydrothermal iron polymetallic ore, geophysics, geology, structure and drilling data are comprehensively utilized, and deep mineral intelligent prediction is carried out through multi-source data fusion and a machine learning model; the defects that in an existing desert region deep prospecting method, data utilization is insufficient, and a magma hydrothermal metallogenic system is low in recognition precision and poor in prediction effect are overcome.

The invention discloses a coastal soil salinization monitoring method based on a spectral index, and the method comprises the steps: obtaining soil salt content data of a to-be-detected region and a same-period Sentinel 2 image, and extracting the target waveband reflectivity original data of the image; preprocessing the image to obtain a target image, and rejecting an abnormal value from the reflectivity data to obtain target reflectivity data; in combination with soil salt content and target reflectivity data, screening out a two-dimensional spectrum index with sensitive wave band extension, which contains a soil adjustment index, an enhancement index and a soil simple index; and inputting a target image into an extreme gradient lifting prediction model which takes the expansion index as input and the salt content data as output, generating salt content space distribution data, and preparing a salinization thematic map according to standard grading. According to the method, the problem of poor coastal adaptability of the traditional spectral index is solved, the indoor / field hyperspectral monitoring limitation is avoided, the cost is reduced, the efficiency is improved, a basis is provided for precise treatment of coastal cultivated land salinization, and'precise, global and efficient 'monitoring is realized.

The invention discloses a property insurance risk accumulation prediction method based on space grid calculation, and the method comprises the following steps: S1, framing a region range, and determining longitude and latitude points of a starting point; s2, determining a single grid distance according to the analysis elements; s3, drawing a space grid based on the starting point, and carrying out grid coding; s4, vectorizing the target; s5, grid insurance amount calculation; s6, setting a single grid threshold interval; s7, constructing a visual thematic map and different business underwriting decisions based on threshold interval grade division; and S8, according to different service underwriting decisions, realizing insurance service system-level calculation and management and control. According to the property insurance risk accumulation prediction method provided by the invention, accurate analysis of risk accumulation of property engineering insurance of a preserved driver in natural disasters is realized, the defect that the accumulated risk is predicted by administrative division traditionally is effectively solved, the accuracy of the accumulated risk is improved, a basis is provided for underwriting risk control, and high-quality development of financial insurance business is promoted.

The invention discloses a land asset data analysis method and system, and belongs to the technical field of land resource management. The method aims at solving the problem that in the prior art, due to the fact that a global regression model is adopted, analysis results cover spatial heterogeneity. The method comprises the following steps: acquiring geographic elements in a target space range selected by a user and specified dependent variable and independent variable records; generating spatialization analysis data fused with geographic information and variable data; generating and executing an analysis script for calling a geographic weighted regression model function, and calculating a localized regression coefficient representing local influence intensity for each geographic element; and rendering the localized regression coefficient corresponding to the specified independent variable into a color-graded thematic map on a GIS map, and presenting a visual geographical distribution rule. According to the method, the localization coefficient is calculated for each space unit, the action intensity difference of the influence factors at different geographic positions can be revealed, and therefore data support is provided for fine management and partition decision making of land assets.

This invention relates to a system and method for evaluating the quality grade of naturally selenium-rich land. The system includes: a data acquisition and analysis module for acquiring multi-source data of the area to be evaluated; a selenium-rich land discrimination module for determining whether land is naturally selenium-rich based on total selenium content and soil pH value; a comprehensive evaluation index module for constructing a comprehensive evaluation index system; a weight determination module for calculating the weight of each evaluation index in the comprehensive evaluation index system; a quality grade calculation module for calculating the membership degree of evaluation indicators at each index layer in the comprehensive evaluation index module; a grade division module for calculating the comprehensive quality index of each evaluation unit using an additive method; and a visualization module for integrating the evaluation thematic map with the geographic base map to obtain a quality grade evaluation map. This invention enables quantitative model calculation and spatial visualization representation of the quality grade of naturally selenium-rich land.

The land space land use refinement method, device, equipment and storage medium of the present application belong to the technical field of geographic information systems and land space planning, and the method comprises the following steps: acquiring multi-source spatial data; performing data reclassification to establish a mapping relationship between POI original categories and land space land use classification standards; performing coordinate system conversion and standardization preprocessing on the multi-source spatial data; generating land space planning basic units based on business data; fusing AOI surface evidence and reclassified POI point evidence to calculate the comprehensive evidence strength of different land types in each planning basic unit; determining the land use type of each planning basic unit through a multi-threshold determination mechanism combined with a spatial neighborhood smoothing algorithm; and outputting the land use recognition result and generating a land space planning land use thematic map. The present application effectively improves the accuracy of land use recognition, mixed function recognition ability and spatial rationality of the result.

The invention discloses a typhoon event processing method and system based on a wind cloud meteorological satellite, and the method comprises the steps: periodically accessing a meteorological data sharing platform, reading the real-time observation information of a typhoon, and writing the real-time observation information of the typhoon into a typhoon event data set; acquiring wind cloud meteorological satellite data and products related to the typhoon event by parallelly accessing a delay transmission channel and a real-time transmission channel of the wind cloud meteorological satellite; generating various thematic maps related to typhoon monitoring based on the typhoon center longitude and latitude of the typhoon event and matching the wind cloud meteorological satellite data and products in the first space range; and storing the pictures of the various thematic maps and the corresponding data and products into a typhoon event data set, and displaying the typhoon event data set. The total delay of typhoon-related multi-source wind cloud meteorological satellite remote sensing products from products to thematic maps and from thematic maps to front-end display is stabilized in a short time, the wind cloud meteorological satellite typhoon data acquisition and processing time efficiency is improved, and data support is provided for typhoon monitoring and forecasting.

The invention provides a charting method based on berth-anchoring ground extraction and updating. The charting method comprises the following steps: acquiring ship trajectory data, berth vector data, anchoring ground vector data and remote sensing image data of a target water area; identifying staying points from the ship trajectory data based on ship motion features to form a staying point set; clustering the staying point set by adopting a density clustering algorithm to obtain a staying area cluster set; constructing a space boundary for each cluster in the staying area cluster set, and performing merging processing on boundaries with a space association relationship to form a final staying area boundary; classifying the parking area into a parking area, an anchoring ground area and an abnormal parking area; the abnormal staying area is subdivided into an abnormal berthing area or an abnormal anchoring area; and generating a parking space and anchoring ground space distribution thematic map based on the final parking area boundary and the classification result.