198 results about "Spatial database" patented technology

The invention discloses a landslide monitoring and early warning method and system based on a digital twinborn technology, and belongs to the technical field of geological disaster monitoring and early warning, and the method specifically comprises the steps: collecting the geographic information data of a landslide in real time; constructing a dynamically updated multi-source spatial database; the method comprises the following steps: constructing a landslide simulation model, performing mesh generation on the landslide simulation model, introducing a stress field and seepage field numerical coupling algorithm on the basis of a numerical analysis method, establishing a landslide mass hydraulic coupling model, performing solution on the basis of the landslide mass hydraulic coupling model, and accurately analyzing the existing state of the landslide mass. Acquiring the safety coefficient of the landslide mass in real time by adopting a strength reduction method; and establishing a disaster analysis model, if the safety coefficient reaches a preset alarm threshold, deducing a landslide disaster forming range, calculating a disaster risk index, evaluating a risk level according to the disaster risk index, and if the risk level is higher than a preset level, carrying out early warning on the landslide disaster. According to the invention, accurate landslide monitoring and intelligent safety early warning are realized.

The invention relates to the technical field of database optimization, provides a massive astronomical data query processing method, and aims to solve the efficiency bottleneck of astronomical data in storage, management and query processes. By constructing a distributed spatial database, efficient storage and management of large-scale astronomical data are realized; an index structure of astronomical data is optimized by utilizing an LB-ANN index, so that query load balance and data retrieval efficiency are improved; besides, efficient fusion of structured query and unstructured query is realized through SQL-ANN mixed query in combination with a JIT compiling technology, the query execution sequence is optimized, and the query efficiency is remarkably improved; the overall method breaks through the bottlenecks of traditional astronomical data query in calculation complexity, storage efficiency and index optimization, and an accurate and efficient solution is provided for efficient intelligent processing of large-scale astronomical data.

The invention discloses a smart park energy consumption management method and platform based on multi-source data driving, and relates to the technical field of energy consumption management, and the method comprises the steps: connecting a multi-mode monitoring device, and obtaining multi-source monitoring data; positioning a monitoring space of multi-source monitoring data, projecting the monitoring space to the space model of the smart park, and constructing a multi-dimensional space database; performing space energy consumption analysis according to the multi-dimensional space database, evaluating the energy consumption state of each space region, and identifying a space energy consumption excess region; and according to the multi-source monitoring data of the space energy consumption excess region, performing energy-saving analysis in combination with the space distribution characteristics to obtain an energy-saving management scheme. The technical problems of low park energy utilization efficiency and insufficient energy consumption management accuracy caused by single multi-modal data acquisition, disjunction of energy consumption and spatial information and lack of real-time dynamic mapping capability in static analysis in the prior art are solved, and the technical effect of improving the energy consumption management accuracy and the energy utilization efficiency of the smart park is achieved.

Described herein are approaches directed to building and / or managing page layout templates associated with pages having particular page types. Some implementations relate to approaches for hierarchical page layout templates. In some implementations, a graphical page layout template editor can be provided. In some implementations, a large language model can be used to generate page layout templates. Page layout templates can include one or more modules that can define the presence and organization of blocks within a page comprising one or more blocks. Some implementations provide for a news feed that can summarize changes to pages within a workspace, teamspace, database, or other context.

The invention discloses a land space optimization configuration method under terrain gradient constraint. The method comprises the following steps: S1, collecting multi-source geographic data to construct a spatial database; s2, factors such as gradient and elevation are extracted, and terrain gradient partitions are divided; s3, constructing a three-dimensional conflict matrix based on suitability evaluation and landscape pattern analysis; s4, constructing a driving index system, and analyzing a driving path of the spatial conflict; s5, setting a multi-objective optimization function, and constructing game rules and spatial conversion constraint conditions of the three types of subjects; s6, integrating the C-FLUS model, the MAOOAM model and the R2D3 model, and constructing a coupling system to execute dynamic optimization; and S7, when the convergence condition is met, outputting an optimal configuration scheme and generating a compensation and control strategy. According to the method, efficient optimization and intelligent decision support of multi-target land configuration under the terrain differentiation condition are realized.

The invention discloses a database-based space conflict treatment method and device and a medium, and relates to the technical field of electric digital data processing. The method comprises the steps of determining conflicting pattern spots with conflicts in space pattern spots through a preset space analysis function according to a geometrical relationship between the space pattern spots corresponding to a planning land in a space database; analyzing the spatial relationship and the ownership planning relationship corresponding to the conflict pattern spots to determine the conflict intensity corresponding to each conflict pattern spot; based on the spatial relationship network, determining a hotspot conflict area with spatial aggregation according to the conflict intensity; determining treatment priorities corresponding to the conflict pattern spots according to a descending order of the conflict intensity, and adjusting the treatment priorities of the conflict pattern spots according to conflict linkage paths among the conflict pattern spots in the hotspot conflict area; and generating a space governance path in the hotspot conflict area through the adjusted governance priority, so as to realize the space conflict governance of the planned land through the space governance path.

The invention provides a beach big data geographic space intelligent application service method based on a large model Agent, and relates to the technical field of geographic space data artificial intelligence processing and analysis. According to the method, a distributed platform comprising a parallel computing cluster, a spatial database and a large language model is constructed, and standardized storage and metadata management of multi-source remote sensing, vector and attribute data are supported. The system generates a spatio-temporal query instruction through natural language analysis, completes cross-source matching and spatial calculation, outputs an analysis result in a multi-modal form such as a map, a chart and a text, and realizes intelligent and interactive service of geographic data processing.

The invention discloses a drainage basin water quality pollution source flux identification method based on an SWAT model, computer equipment and a storage medium, and the method comprises the steps: obtaining topographic data, land utilization data, soil type data and meteorological data, and enabling the topographic data, the land utilization data, the soil type data and the meteorological data to form a drainage basin spatial database; based on the preprocessed digital elevation model, determining a water flow direction and setting a reasonable water collection area threshold value, and dividing sub-basins to construct a basin calculation unit network topology structure; obtaining pollution source data, and constructing an SWAT-CUP model according to the pollution source data; performing system calibration and verification on the watershed hydrological process by adopting an SUFI-2 algorithm in the SWAT-CUP model; carrying out system calibration and verification on the total nitrogen load of the drainage basin by adopting an SWAT-CUP model; and based on the calibrated SWAT hydrological model, the input condition of the pollution source is changed. The method can cover the whole watershed and quantify the contribution rate of different pollution sources; cost is high, operation is simple, and long-term change can be dynamically simulated.

A system and method using a digital replica to populate large fingerprinting databases. A digital twin map is created ray-tracing simulations on a digital replica of the environment across several frequency bands and beamforming configurations. Online user equipment fingerprints are matched against this spatial database. A user equipment position measured in real-time and the digital twin map are used to compute the most probable location of the user equipment.

According to the efficient matching method for the GIS multi-scale basic geographic space data, a multi-scale matching scheme based on geographic space database optimization is improved, firstly, a spatial database model based on a relational database and a spatial database engine is used as a method for storing the multi-scale basic geographic space data, and the method is high in storage speed and flexible in application; 2, establishing a new object selection method for multi-scale geographic space data matching, organizing a basic geographic entity in a data structure form of a multi-way tree based on a multi-scale semantic change rule of geographic space data, and establishing a category matching method for semantic change of the same element category of different proportional scales; a category matching relationship under a multi-scale condition is effectively constructed; and thirdly, an optimization scheme for multi-scale basic geographic space data matching is established, the matching effect is good, and the operation efficiency is high. Spatial data fusion can be efficiently realized, the spatial data quality is improved, and the map database updating efficiency is improved.

Described herein are approaches directed to building and / or managing page layout templates associated with pages having particular page types. Some implementations relate to approaches for hierarchical page layout templates. In some implementations, a graphical page layout template editor can be provided. In some implementations, a large language model can be used to generate page layout templates. Page layout templates can include one or more modules that can define the presence and organization of blocks within a page comprising one or more blocks. Some implementations provide for a news feed that can summarize changes to pages within a workspace, teamspace, database, or other context.

The invention discloses a comprehensive traffic infrastructure spatial database construction method based on multi-source data. The method comprises the following steps: S1, collecting road, water transportation and aviation traffic infrastructure data; s2, establishing a data dictionary and a metadata standard according to the specification, and formulating a sub-library strategy and an interface specification; s3, carrying out standardization processing on the attribute data, the satellite image data and the space vector data; s4, formulating a spatial data fragmentation strategy based on a geographic area, constructing a full-text index and spatial index system, and optimizing storage and query; s5, carrying out collaborative management on the K-V storage and the MySQL (Structured Query Language), the PostGIS (Geographic Information System), the MongoDB, the ElasticSearch and the K-V storage; s6, designing an expansion mechanism in the storage layer, the retrieval layer and the calculation layer; and S7, establishing a unified retrieval platform based on the database, fusing grid and vector data, and supporting spatial visualization and semantic retrieval. The method improves the data fusion, retrieval and expansion capabilities of the traffic infrastructure, and is suitable for the construction of a comprehensive traffic information platform.

The invention relates to the technical field of data processing, and discloses an unmanned aerial vehicle photo and video management method and system based on a geographic position. The method comprises the following steps: extracting geographic attribute data from an unmanned aerial vehicle photo EXIF and video subtitles; establishing a spatial database, storing photos as a point graph layer, and storing videos as a line graph layer; renaming the file according to the shooting time and the camera model; importing the point-line graph layer into GIS software to generate a visual graph; searching and screening target area media through spatial analysis; and performing statistical analysis on the media set to generate a comprehensive report. According to the method, unmanned aerial vehicle photo and video data can be managed at the same time, geographic position information is fully utilized, multi-dimensional space retrieval is supported, and the method is suitable for various application scenes, so that the complexity and errors of manual arrangement are eliminated, and the management efficiency and retrieval precision of unmanned aerial vehicle media data are improved.

The embodiment of the invention provides a geographic information system (GIS) modeling method and device, electronic equipment and a medium, and the method comprises the steps: collecting video image data of a target area, recording the latitude and longitude coordinates of a collection position, carrying out the extraction of a key frame, carrying out the denoising processing, extracting the image feature points of the key frame, and carrying out the feature matching, determining a relative position between the key frames; the method comprises the following steps of: calculating a space coordinate of each image feature point by utilizing matched image feature points and GPS data of acquisition equipment, generating point cloud data, performing 3D Gaussian Splitting operation on each point in the point cloud data by applying a Gaussian weighting function to obtain an integral Splitting operation result, and reconstructing a three-dimensional model through the integral Splitting operation result to obtain a three-dimensional model. Smooth processing is carried out to optimize the surface quality of the three-dimensional model; and importing the reconstructed three-dimensional model into a GIS (Geographic Information System), managing model data by using a spatial database, and placing the three-dimensional model at a corresponding position in the GIS by using latitude and longitude coordinates.

The invention provides a GIS buffer generation method and system based on fuzzy semantics and geographic constraints, and belongs to the technical field of geographic information systems.The method comprises the steps that fuzzy descriptors, membership values and geographic entity types are input into a pre-trained language-space mapping model, and basic distance parameters are obtained; querying a spatial database based on the geographic entity keywords, obtaining geometric features associated with the geographic entities, and calculating feature lengths corresponding to the geometric features; correcting the basic distance parameter based on the intention direction, the membership value, the geographic entity type and the feature length expressed by the fuzzy description word to obtain a geographic distance threshold; generating an initial two-dimensional buffer polygon based on the geographic distance threshold and the spatial geometric features of the geographic entity; and querying a digital elevation model to obtain topographic data based on the initial two-dimensional buffer region polygon, and generating a three-dimensional buffer region curved surface through a gradient sensitive interpolation algorithm. According to the invention, the accuracy of generating the GIS buffer area is improved.

The invention relates to a map rendering method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: acquiring tile range information and determining a target retrieval identifier according to the tile range information; under the condition that the vector tile matched with the target retrieval identifier cannot be searched from a preset cache database, determining vector data matched with the target retrieval identifier in a preset spatial database according to the target retrieval identifier; and generating a target vector tile according to the vector data. By adopting the method, the retrieval identifier can be determined based on the position and the zoom level of the vector tile to be rendered in different layers, and the data matched with the retrieval identifier can be accurately searched in the preset cache database and the spatial database by utilizing the retrieval identifier, so that the map to be loaded can be accurately and timely rendered by utilizing the retrieved data; and all possible tiles do not need to be generated in advance, so that the map rendering cost is reduced.

The invention discloses an element quantitative fusion-based urban coastal zone landscape evaluation and prediction method, which comprises the following steps of delimiting a vector boundary of a target urban coastal zone based on land change data, and dividing an area covered by the vector boundary into a plurality of grid units; associating the preprocessed spatial element data to the corresponding grid units, and constructing a structured spatial database; establishing a multi-element quantitative index system, calculating a combined weight, and outputting a comprehensive evaluation score of each grid unit through weighted summation; calculating global and local Moran's I indexes based on the comprehensive evaluation score, and identifying a spatial aggregation region and an abnormal region with statistical significance; obtaining dynamic monitoring data in a coastal zone range of a target urban area, and updating the structured spatial database; and based on the updated structured spatial database, comprehensively evaluating the score and the recognition results of the spatial accumulation area and the abnormal area, and generating an evaluation and prediction result.

The invention relates to the technical field of geographic information systems, in particular to a GIS buffer zone parameter inference method based on deep learning, and the method comprises the following steps: obtaining a natural language instruction input by a user; analyzing the natural language instruction to extract a geographic entity keyword and a fuzzy description word; based on the fuzzy description word, determining an initial distance parameter through a pre-trained language-space mapping model; querying a spatial database based on the geographic entity keyword to obtain geographic entity attributes; according to the geographic entity attribute, correcting the initial distance parameter to obtain a corrected distance parameter; a field programmable gate array (FPGA) is used for carrying out parallel calculation on the spatial relation matrix to generate an optimized buffer area; and outputting the optimized buffer area. According to the method, the FPGA is introduced to carry out parallel calculation of the spatial relation matrix, so that the data processing speed and the energy efficiency ratio are remarkably improved, and the real-time generation of the buffer area is realized.

The invention discloses a method for generating a high-precision three-dimensional terrain model. The method comprises the following steps: S1, collecting geographic information data; collecting geographic information data of the target area by using the unmanned aerial vehicle; s2, data preprocessing, wherein the data preprocessing comprises precision correction, image splicing and three-dimensional reconstruction; s3, data storage and management; storing the processed data in a spatial database; step S4, generating a grid; discretizing the elevation data to generate a regular quadrilateral grid; step S5, carrying out elevation interpolation; elevation interpolation calculation is carried out on each grid node; step S6, constructing a three-dimensional terrain; a three-dimensional terrain model is generated according to the grid nodes and the elevation interpolation result; and S7, optimization and refinement are carried out. And optimizing the generated three-dimensional terrain model. Through the method provided by the invention, the efficiency and precision of three-dimensional terrain model generation are improved, so that the generated terrain model is finer, and actual terrain features can be truly reflected.

The invention discloses an underground space personalized intelligent guidance system based on spatial layout, which comprises a positioning hardware network, a navigation calculation server, user terminal equipment and a data transmission network, and is characterized in that the navigation calculation server is internally provided with a complex spatial database and stores a three-dimensional map of an underground space and function distribution data of each region; the system further comprises a special positioning algorithm processing unit and a path planning processing unit, the positioning algorithm processing unit is responsible for fusing multi-source data from Wi-Fi, Bluetooth and a high-precision inertial measurement unit IMU to achieve accurate positioning, and the path planning processing unit is based on a NavMesh navigation grid and an improved A * algorithm. And a multi-target path is generated in combination with real-time personnel density distribution data, an optimal path and a plurality of recommended paths are provided, and personalized route suggestions are generated according to specific requirements of users. According to the method, the limitation of a traditional navigation mode in dealing with the complexity of the underground space is overcome, and accurate navigation and personalized guidance of the user in the underground space are realized.

The invention provides an earthquake disaster loss pre-evaluation method and system based on field investigation. The method comprises the following steps: according to a sampling survey result of a working area, establishing a localized building vulnerability matrix taking a county as a unit, and classifying the localized building vulnerability matrix according to a building function, a building age, a floor number and a fortification grade; based on the spatial database, the multiple sets of set seismic parameters and the localized building vulnerability matrix, an earthquake disaster loss pre-evaluation result is obtained through a pre-evaluation model, and the earthquake disaster loss pre-evaluation result comprises the affected area under each set of set seismic parameters, the estimated number of casualties and the direct economic loss; and when the error between the earthquake disaster loss pre-evaluation result and the actual earthquake disaster loss is greater than a preset error threshold value, dynamically correcting the model parameters of the pre-evaluation model according to the sampling survey result. According to the technical scheme provided by the invention, the evaluation error is reduced, and the accuracy of pre-evaluation is improved.

The invention provides an ecological system carbon sink accounting method and system based on a territorial space planning target. The method belongs to the technical field of carbon income and expenditure, and comprises the steps: obtaining and integrating basic data of ecological system carbon sink accounting and territorial space planning, and constructing a high-precision territorial space database based on the basic data; dividing the research area into different types of land utilization units according to a territorial space planning target, and determining carbon sink key parameters of each type of land utilization unit; the method comprises the following steps: collecting and integrating basic data related to ecological environment and territorial space planning through multiple ways, and constructing a high-precision territorial space database containing various information such as remote sensing images, topography and landform, climate, land utilization status, vegetation coverage and the like; through parallel computing and resource optimization management, efficient data preprocessing and spatial overlay analysis are realized, and a solid data basis is provided for subsequent carbon sink accounting.

The invention discloses a GIS-based coal mine safety production scheduling management method and device, relates to the technical field of production scheduling, and solves the technical problems that unified integration and analysis are lacked, comprehensive production situation awareness is difficult to form, and the scientificity and timeliness of a scheduling scheme are insufficient. Data cleaning and a spatial database engine are integrated, a coal mine three-dimensional model is constructed, unified management and visual presentation of production total factor data are achieved, data such as production progress, equipment scheduling and material requirements are collected in real time based on the coal mine three-dimensional model, the production state is rapidly judged through a preset rule, the recognition time is shortened, and the production efficiency is improved. A plurality of groups of simulation scheduling schemes are generated for abnormity, quantitative analysis is carried out from space influence and path influence, an optimal scheme is screened in combination with a weighting algorithm, screening is carried out by determining required scheduling resources and combining idle resources in a coal mine area, and path distance and resource complementarity are comprehensively considered, so that accurate matching and efficient scheduling of resources are realized.

The invention discloses a method for assisting resistivity inversion based on a geological map spatial database, which comprises the following steps of: S1, selecting a geological map with a specified proportional scale, constructing a geological map database, and extracting specified parameters of resistivity inversion; s2, constructing a gridding geological surface body, and obtaining a lithology distribution condition and a physical property parameter in each grid unit; s3, constructing an underground physical property distribution model by using the obtained parameter combination; s4, on the basis of a preset inversion optimization algorithm, geological constraints are introduced, and spatial variation regional regularization parameters are obtained through calculation according to the underground physical property distribution model and used for executing resistivity inversion calculation; s5, based on the resistivity obtained through inversion calculation, information data superposition and comparison are carried out in GIS software; and S6, defining a consistency scoring function, and quantifying an inversion result, a geological boundary line and a tectonic zone matching degree. According to the method, the existing geological information is utilized, the accuracy and efficiency of inversion modeling can be improved, and the geological consistency of inversion results is enhanced.

The invention provides a prospecting prediction method and device based on geoscience big data fuzzy feature analysis. The method comprises the following steps: establishing a geoscience big data spatial database of a target prospecting area; dividing the target prospecting area to generate a plurality of grid units; selecting a plurality of model units from the plurality of grid units, and selecting an initial prediction variable; respectively determining a fuzzy membership function of any initial prediction variable in each model unit; obtaining a fuzzy membership degree of an initial prediction variable of the model unit according to the fuzzy membership degree function; calculating a fuzzy matching coefficient between any initial prediction variable and any other initial prediction variable according to the fuzzy membership degree of the initial prediction variable of the model unit; determining a weight coefficient of each initial prediction variable according to the fuzzy matching coefficient; selecting a target prediction variable according to the weight coefficients of all the initial prediction variables; and calculating the metallogenic favorable degree of the target prospecting area according to the fuzzy membership function and the weight coefficient of the target prediction variable. The prediction precision can be improved.

This application relates to the technical field of data processing, and discloses a method and system for managing drone photos and videos based on geographical location. The method includes: extracting geographical attribute data from drone photo EXIF and video captions; establishing a spatial database, storing photos as point layers and videos as line layers; renaming files according to shooting time and camera model; importing the point and line layers into GIS software to generate a visualization map; querying and screening media in the target area through spatial analysis; and performing statistical analysis on the media set to generate a comprehensive report. This application can manage drone photo and video data simultaneously, make full use of geographical location information, support multi-dimensional spatial retrieval, and is applicable to management methods in various application scenarios, thereby eliminating the cumbersome and errors of manual collation and improving the management efficiency and retrieval accuracy of drone media data.

The invention discloses a low-altitude airspace noise assessment method based on space grids, and belongs to the technical field of low-altitude unmanned aerial vehicle flight monitoring and assessment. The objective of the invention is to solve the problem of depicting capability of a sound field state in a three-dimensional airspace. According to the method, noise sensitive objects in a low-altitude flight airspace and an air route range are identified, and a noise sensitive architectural space database with noise limit value labels is established based on set differentiated noise limit values; carrying out three-dimensional space rasterization modeling on the target evaluation area, and carrying out environment parameter assignment on each space grid unit to obtain a structured three-dimensional space grid framework of the target evaluation area; establishing a sound propagation attenuation model considering the multi-physics field coupling effect, and calculating the sound pressure intensity and the maximum allowable sound source intensity of each structured three-dimensional space grid unit; constructing a multi-dimensional data combined three-dimensional noise database; and carrying out airspace availability analysis and flight path feasibility evaluation. According to the invention, three-dimensional visualization and layering and partition quantization of low-altitude airspace noise influence are realized.

The invention discloses a dam multi-source data management method, system and device and a medium, and relates to the technical field of data processing, and the method comprises the steps: receiving monitoring data from a plurality of heterogeneous data sources, and carrying out the classification processing of the monitoring data; performing format conversion, identifier unification and data association processing on the received monitoring data; dividing the standardized data into a shared type resource set, and performing data interaction according to a preset exchange mode; dividing the data according to the type, the structural feature and the access requirement of the monitoring data, and storing different types of data in a database; and according to the data type, a differentiated backup strategy and a storage model are adopted for management. According to the method, the organization efficiency and the query performance of mass monitoring data are improved by constructing the basic database, the monitoring database, the spatial database, the multimedia database and other multi-layer structures and combining hierarchical storage, index optimization and structural standardization table design, and the multi-dimensional data service requirement is met.

The invention relates to the technical field of territorial space planning, and provides a territorial space planning risk assessment method which comprises the following steps: step 1, based on a space planning target of a target area, dividing multiple levels of assessment units, and constructing a three-dimensional risk assessment index system comprising a risk source index, a risk bearing body index and a risk conduction path index; 2, collecting multi-source heterogeneous data including remote sensing images, geological and geographic data and social and economic data, and generating a spatial database through data fusion; and step 3, classifying the data by adopting a Jenks natural breakpoint method, calculating an index weight in combination with an empowerment method, and constructing a dynamic risk assessment index matrix. 12 types of indexes are integrated through a risk source-bearing body-conduction path three-dimensional model, and the assessment coverage rate is increased by 40%; multi-scale trend distribution point correction enables the remote sensing image registration error to be reduced to 1.2 pixels, and the disaster identification false alarm rate is reduced by 35%.

The invention relates to the cross technical field of land resource management and information technology, in particular to a land management system and method based on a GIS system and big data analysis, and the system comprises a data layer, a support layer and an application layer. The data layer comprises a multi-source data collection module and a GIS spatial database; the support layer comprises a big data processing engine, a GIS analysis tool set and a machine learning modeling platform, the application layer comprises an intelligent supervision module, a planning auxiliary module and a decision support module, and the system is suitable for intelligent management and decision support of land resource investigation, planning, protection and development of a full life cycle.