177 results about "Spatial database" patented technology

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.

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 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 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 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.

This invention provides a Bayesian-based method and apparatus for spatial trade-off and synergistic optimization of ecosystem services, relating to the fields of ecology and statistics. The invention acquires an ecological spatial database of a target area, uses ArcGIS software's netting and clipping tools to generate a grid layer of a specified size for the target area, obtaining a pixel set. Based on the ecological spatial database and pixel set, the blue carbon storage, biodiversity maintenance capacity, and coastal protection capacity of the target area are calculated, representing three ecosystem services. Furthermore, the coupling coordination degree is obtained to analyze the overall coordination level among ecosystem services. A Bayesian-based ecosystem service synergy prediction model is constructed using Netica software to identify key driving factors and output the probability distribution of corresponding nodes, simulating and analyzing potential synergistic impacts under different scenarios. This invention can accurately identify and clarify the trade-off and synergistic relationships of key ecosystem services such as coastal wetlands, achieving synergistic spatial optimization of ecosystem services.

The present application relates to the technical field of road construction, and more particularly to a method and device for calculating and visualizing the number of compaction passes by a road roller, and a medium, the method comprising: constructing a motion line segment according to GPS track points of the road roller, assigning the motion line segment a WGS84 geographic coordinate system, and then converting the WGS84 geographic coordinate system into a corresponding projection coordinate system; performing buffer zone analysis on the motion line segment to obtain a rolling surface; performing intersection query on a spatial database with the rolling surface as a spatial range to obtain a surface intersecting the rolling surface and a historical rolling surface; adding one to the number of compaction passes of the intersecting surface, performing clipping calculation on a region outside the intersecting surface, and continuing to perform intersection calculation with other historical rolling surfaces until a stop clipping condition is met; saving the calculation result to the spatial database and sending the calculation result to a front end; querying, by the front end, whether a layer corresponding to a machine number of the road roller exists according to the machine number, appending layer data content if the layer exists, or creating a new layer if the layer does not exist; and rendering a map patch color according to the number of compaction passes by the front end, so that a visualized number of compaction passes is obtained.

The invention relates to the technical field of regional soil pollution health risk assessment, in particular to a regional soil pollution health risk assessment method based on POI data, and the method comprises the steps: firstly obtaining and preprocessing multi-source heterogeneous data, and constructing a POI spatial database; adopting a Kriging spatial interpolation method to generate a pollutant concentration spatial distribution grid map layer; then combining kernel density estimation and dynamic weight correction to construct a population activity intensity index surface; dynamically generating an exposure evaluation unit, and calculating the multi-path daily average exposure dose of people of different ages; and finally, quantifying the multi-path health risk, generating a risk level distribution map, and identifying the dominant POI category of the high-risk area. According to the method, deep fusion of multi-source data is realized, the association between population activity characteristics and pollution exposure is accurately depicted, the evaluation accuracy and suitability are improved, and a scientific decision basis is provided for pollution prevention and control and risk management and control.

The application provides a geological big data storage structure construction method, comprising: inputting engineering investigation data, regional geological data, groundwater data and three-dimensional geological model data generated by a data acquisition end into a geological big data center for storage; the geological big data center standardizes the engineering investigation data, the regional geological data, the groundwater data and the three-dimensional geological model data and stores them into a structured non-spatial database, a structured spatial database and an unstructured database of the geological big data center; a geological big data service center constructs standard services of the structured non-spatial data, the structured spatial data and the unstructured data and sends them to a data application end. The data big data center standardizes data management, classifies and converts data and stores the data in different areas, so that the purpose of multi-end synchronization and use is achieved.

This invention discloses a method for constructing a comprehensive transportation infrastructure spatial database based on multi-source data, including the following steps: S1, collecting data on three types of transportation infrastructure: highway, water transport, and aviation; S2, establishing a data dictionary and metadata standards based on specifications, and formulating a database partitioning strategy and interface specifications; S3, standardizing attribute data, satellite image data, and spatial vector data; S4, formulating a spatial data sharding strategy based on geographic regions, building a full-text index and spatial index system, and optimizing storage and query; S5, using MySQL, PostGIS, MongoDB, ElasticSearch, and K-V storage for collaborative management; S6, designing expansion mechanisms at the storage, retrieval, and computing layers; and S7, establishing a unified retrieval platform based on the database, integrating raster and vector data, and supporting spatial visualization and semantic retrieval. This invention enhances the ability to integrate, retrieve, and expand transportation infrastructure data, and is suitable for the construction of a comprehensive transportation information platform.

The present application relates to a kind of Z order curve encoding and decoding method based on multi-order value lookup table, belong to spatial database index technical field.The present application includes multi-order encoding value lookup table construction stage: construct multi-order encoding value lookup table, for realizing the mapping between coordinate and encoding value;Encoding stage: each coordinate component is segmented, through iterative inquiry multi-order encoding value lookup table, the result of each segment is spliced to calculate Z order curve encoding;Multi-order decoding value lookup table construction stage: construct multi-order decoding value lookup table, for realizing the mapping between encoding value and coordinate;Decoding stage: to coordinate encoding value is segmented, through iterative inquiry multi-order decoding value lookup table and the result of each segment is spliced to calculate coordinate.The present application can convert step-by-step encoding and decoding operation into step-by-step encoding and decoding operation by introducing segmentation mechanism and other technologies, improve encoding and decoding efficiency.

The embodiment of the invention provides a potential resource quantity estimation method and device, and the method comprises the steps: constructing a geoscience big data spatial database of a target working area; extracting necessary geological elements and abnormal features reflecting the necessary geological elements from various different types of data information of the geoscience big data spatial database; on the basis of the necessary geological elements and the abnormal features reflecting the necessary geological elements, superposition operation is executed, and geological units are formed; selecting a model area from the geological unit; respectively determining the metallogenic favorable degree of the geological unit and the volume ore content of the model area; and according to the metallogenic favorable degree of the geological unit, the volume ore-bearing rate of the model area and the volume of the prospecting prospecting area in the geological unit, determining the potential resource quantity of each prospecting prospecting area. According to the method, the potential resource quantity can be effectively identified, and the accuracy of the obtained potential resource quantity is improved.

The invention provides a carbon sink effect evaluation method based on a GIS spatial analysis function, and belongs to the technical field of water ecological environment protection, and the method comprises the steps: collecting multi-type data of an evaluation region, and carrying out the preprocessing of the multi-type data, and obtaining high-quality data; constructing a target layer-criterion layer-index layer three-level index system, and determining the weight of each level index; digital modeling is carried out on the evaluation area, a basic spatial database is obtained in combination with spatial processing of the evaluation area, and multi-source attributes of each unique identification point location in the evaluation area are extracted to be associated and bound with the basic spatial database to form a comprehensive database; by means of a GIS overlay analysis tool, spatial weighted overlay calculation is conducted on the spatialization data and the weight of each layer in the comprehensive database, and a comprehensive evaluation result for evaluating the regional water environment carbon sink effect is generated; and presenting the comprehensive evaluation result in a map form based on a GIS map making function. The problems that a traditional method is high in cost and low in space precision are solved.

This invention relates to the field of mineral deposit exploration technology, specifically disclosing a method for determining the extension of magmatic hydrothermal deposits using fluid inclusions. The method involves collecting mineral samples containing fluid inclusions from the target deposit and its surrounding area using a systematic grid. Physicochemical parameters are obtained through petrography, microthermometry, and isotope analysis, and a spatial database is established. Multiple initial hydrothermal centers are identified. A multi-dimensional spatial constraint field is constructed, incorporating temperature-salinity-isotope gradients, mineralization depth, and magma-water mixing ratio. Using the initial centers as seed points, a neighborhood search is performed along the gradient synthesis direction. Sub-hydrothermal centers are generated and continuously grow when preset conditions are met, until an overlap threshold is reached, at which point iteration stops. All hydrothermal centers and growth paths are integrated to construct a spatial extension model. High-potential areas are screened using a target area evaluation index, and the extension direction and potential mineralization target areas are determined by combining the mineralization depth. This significantly improves the accuracy of concealed ore body prediction and the efficiency of mineral exploration.