71 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 particularly relates to a spatial analysis method based on large model agent driving. According to the spatial analysis method based on large model agent driving, syntactic analysis and intention recognition are carried out on a spatial problem described by a natural language through a large model, and spatial-temporal clustering, network analysis and a field simulation algorithm module are dynamically matched; packaging a heterogeneous algorithm into a standardized service component based on a model context protocol (MCP), and automatically constructing an analysis process chain; and integrating a GIS engine and a visual template library, generating a dynamic thematic map according to the processed spatio-temporal data through the visual engine, and superposing multi-dimensional analysis annotations. According to the spatial analysis method based on large model agent driving, the full-chain intelligent capability from data processing to decision support is constructed, the efficiency and precision of spatio-temporal evolution modeling are remarkably improved, meanwhile, the system integration and maintenance cost is reduced, the method is suitable for high-complexity scenes needing real-time spatio-temporal data analysis, and the method is suitable for popularization and application. And the method has remarkable technical innovation and industrial application value.

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 discloses a harmonic spectrum information cutting-based flood inundation range remote sensing rapid extraction method, which comprises the steps of S1, converting an obtained remote sensing image from an RGB color space to an HSV color space, extracting spectral information of the image, and decomposing the spectral information into harmonic spectrum components; s2, constructing an improved clustering model based on a density peak value clustering algorithm, and clustering pixel points in the remote sensing image into a suspected water body class and a non-water body class; s3, optimizing a clustering result through a semantic segmentation network, taking the clustered image as input, and outputting a water body and non-water body segmentation result; and S4, in combination with geographic coordinate information of the remote sensing image, geocoding is performed on the segmentation result, and a thematic map containing the flood inundation range is generated. According to the method, the accuracy and efficiency of flood inundation range extraction are improved, and accurate distinguishing between a water body and a non-water body and rapid obtaining of inundation range changes are achieved.

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.

Control zones are identified on a thematic map and work machine actuator settings are identified for each control zone. A position of the work machine is sensed and actuators on the work machine are controlled based on the control zone that the work machine is in, and based upon the actuator settings corresponding to the control zone. The control zone is then divided, on a display, into a harvested portion of the control zone on which an observed condition value is shown, and control zone that has yet to be harvested, on which an estimated value of the condition is shown.

The invention relates to a power distribution network thematic map generation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring archive information and topological data of each element in the power distribution network; according to a preset conversion mode, converting the archive information and the topological data of each element into a format for mapping to obtain mapping information of each element; in response to a thematic map generation request for the target thematic, screening out to-be-displayed information corresponding to the target thematic from the map formation information according to a preset screening condition corresponding to the target thematic; and generating a power distribution network thematic map corresponding to the target thematic according to the to-be-displayed information. The method can improve the power distribution network diagram generation efficiency.

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 discloses a power grid transmission channel graph automatic generation method and system, equipment and a medium, and the method comprises the steps: obtaining power equipment and contact line data of different countries, and creating a standardized equipment line model; according to the voltage grade and the wiring mode, performing interval division on electrical equipment in the transformer substation to obtain an electrical interval layout data set; generating an initial power transmission channel graph through initial point distribution and power transmission line connection; adjusting the position and layout of the transformer substation through an optimization algorithm; classifying towers along the power transmission line according to asset affiliation to obtain tower classification information; and coloring and marking the power grid elements based on the tower classification information in combination with the voltage grade, and generating a transnational interconnected power grid power transmission channel graph. According to the method, automatic formation of a transnational power transmission channel thematic map can be realized by adopting technologies such as feature analysis and machine learning, and continuous iterative optimization of automatic map formation layout is realized.

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 provides a roof aquifer water yield partitioning method, device and equipment and a storage medium, and belongs to the field of geological research, and the method comprises the steps: determining a plurality of main control factors affecting the water yield of an aquifer, and constructing a thematic map of each main control factor; the subjective weight of each main control factor is calculated by adopting an analytic hierarchy process, the objective weight of each main control factor is calculated by adopting a variable coefficient method, and the comprehensive weight of each main control factor is calculated through a combined weight formula based on the subjective weight and the objective weight; and performing normalization processing on thematic map data of each main control factor, performing weighted stacking on thematic maps of each main control factor after normalization according to a comprehensive weight to generate a water yield property index map, and performing partitioning on the water yield property of the aquifer by adopting a natural discontinuous classification method according to the water yield property index map to obtain a water yield property partitioning map. In this way, the area with the high water yield property can be recognized to provide a scientific basis for drainage design, the area with the low water yield property can be divided to guide arrangement of the mining working face, and resource waste is avoided.

This invention discloses a method for predicting rural ecological space based on Bayesian networks. The method includes: establishing a rural ecological space evaluation index system based on selected suitable factors; determining the time points involved in the Bayesian network model for rural ecological space prediction; acquiring basic data and creating a thematic map of rural ecological space evaluation indicators using preprocessed basic data; constructing a Bayesian network model for rural ecological space prediction by combining the causal relationships of the rural ecological space evaluation indicators; using the Bayesian network model for parameter learning to obtain a conditional probability table; and using the inference engine of the Bayesian network model to predict rural ecological space. This invention, based on the mechanism of action of factors influencing the evolution of rural ecological space and the game relationship between different functional spaces, employs Bayesian networks to solve the problems of the randomness of human activities and the uncertainty of dynamic changes over time in the evolution of rural ecological space, thus achieving the prediction of rural ecological space and improving the accuracy of the prediction results.

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.