118 results about "Geographic information system" patented technology

The present application relates to the technical field of land greening data management, in particular to a land greening system data information management method, comprising: arranging an ecological perception network composed of multiple source sensors in a target administrative region to collect vegetation physiology and soil environment data; carrying out denoising, interpolation preprocessing, standardization and coordinate system conversion in a data processing center to form a standardized basic ecological data set. Based on the data set, an attribute library containing multi-dimensional information such as tree species is constructed with a single plant or a reforestation plot as the smallest management unit, a dynamic three-dimensional green volume voxel model is generated in a geographic information system to reflect the spatial distribution of land greening resources. The model is used to calculate the carbon fixation and oxygen release potential values of different functional divisions, and a planning decision engine is called to generate suggestions for replanting or reforming in low potential value areas. The method effectively improves the data information processing efficiency, calls the planning decision engine to generate land greening implementation suggestions, and quickly and dynamically updates the land greening system data information.

This invention relates to the field of architectural planning technology, specifically to a method and system for urban and rural planning based on digital twins. The method includes acquiring building information models and geographic information system (GIS) data of the area to be planned; constructing a three-dimensional digital twin basic scene through spatiotemporal registration and semantic alignment; identifying planning entities and multidimensional constraints to construct a topological hypergraph model; calculating topological centrality and constraint coupling weights to generate a non-uniform computational potential energy field; constructing a hierarchical scheduling strategy based on the potential energy field gradient; loading a LOD3 level fine model to extract topological parameters for high-potential-energy sensitive areas; loading a LOD1 level block model to extract filling data for low-potential-energy background areas; inputting a generative layout algorithm to generate intermediate data; detecting and repairing geometric overlaps; and outputting a planning scheme. This invention, by constructing a non-uniform computational potential energy field and a hierarchical scheduling strategy, achieves on-demand loading and differentiated processing of large-scale scene data, effectively solving the computational bottleneck problem of processing massive heterogeneous data.

This invention relates to the field of digital simulation technology, specifically to a method for three-dimensional visualization modeling of natural resources based on digital twins. The method includes: constructing a discrete computational map based on a real-world three-dimensional model of the target area and geographic information system (GIS) data; projecting the design base of the building information model (BIM) onto the discrete computational map to determine design boundary nodes; performing constraint propagation calculations on the discrete computational map using the design boundary nodes as propagation starting points to determine the cumulative compliance consumption and cumulative horizontal projection distance of each node in the discrete computational map; determining the topology type of each node based on its cumulative compliance consumption, cumulative horizontal projection distance, original terrain elevation, and preset engineering slope parameters; and geometrically reconstructing the discrete computational map based on the topology type of each node to generate a digital twin model that integrates the BIM and the real-world three-dimensional model. This invention simultaneously achieves automatic compliance avoidance and structural closure generation of the slope model.

This invention discloses a GIS-based refined design method for blind drains, relating to the field of geotechnical engineering technology. The method includes the following steps: acquiring topographic data of the target area and constructing a Digital Elevation Model (DEM) based on the topographic data; performing hydrological analysis based on the DEM, extracting the gully network, and distinguishing between main gully lines and tributary gully lines; determining the blind drain layout scheme based on the gully network, where the main gully lines correspond to the locations of main blind drains and the tributary gully lines correspond to the locations of tributary blind drains; calculating the three-dimensional surface length of the blind drains along the actual terrain in the layout scheme based on the DEM; and performing engineering quantity statistics and output based on the three-dimensional surface length. This method deeply integrates the hydrological analysis module of a Geographic Information System (GIS) with blind drain engineering design, achieving automation and precision from gully identification to engineering quantity calculation.

The invention discloses a farmland tree remote sensing image optimization method, relates to the technical field of remote sensing image processing, and solves the problems that in an existing optical image processing technology, a data processing flow is too complex in an optical image processing process, and wrong division and missing division are likely to occur, so that farmland tree images in optical images are not clear, and the image quality is poor. Therefore, the application of optical images in agricultural operation activities is restricted. A farmland tree remote sensing image optimization method comprises a data acquisition stage, a vegetation and non-vegetation distinguishing stage, a vegetation type distinguishing stage, a farmland tree and non-farmland tree distinguishing stage and a farmland tree remote sensing image optimization stage. The method is suitable for the fields of farmland tree remote sensing monitoring, ecology, remote sensing technology, geographic information systems and the like.

This application discloses a method, apparatus, device, and storage medium for heterogeneous topographic map reconstruction based on spatial indexing and multidimensional ray detection, relating to the field of geographic information system processing technology. The method includes: emitting scanning rays within the geographic range corresponding to the target mapping area and obtaining their intersections with vector boundaries; classifying the target mapping area based on the intersections and scanning rays to identify boundary depressions and cavity edges; extracting background elevation points from a preset background topographic map library based on the identified boundary depressions and cavity edges; constructing a constrained Delaunay triangulation network and then smoothing it to obtain the target topographic file. This solves the problem of not being able to automatically identify irregular boundaries and cavities during stitching, which leads to elevation faults. It achieves automatic identification of the mapping area boundary morphology and accurate positioning of the elevation points to be filled without manual intervention.

This invention relates to the field of rural economic data analysis technology, specifically an artificial intelligence-based method for rural economic data analysis. The method includes: delineating an economic data perception domain in a geographic information system based on the administrative division vector data of the target administrative village; collecting multi-source heterogeneous economic data through a protocol parser of an agricultural IoT terminal and converting it into standardized economic behavior data; extracting entities using natural language processing technology to generate a structured rural economic behavior fact table; inputting the fact table into a pre-trained economic activity association model and constructing a rural industry relationship graph using a graph embedding algorithm; and calculating the centrality index of economic entities based on the graph topology to identify core operating entities. This method enables accurate processing and association analysis of rural economic data, clearly presenting industry relationships and providing effective technical support for rural economic analysis.

The application provides a TIN network construction method based on a spatial minimum spanning tree and a convex hull polygon, relates to the field of geographic information system data processing, and is used for solving the problems of low triangular network quality, topological errors and insufficient construction efficiency in the existing TIN construction method. In order to improve the construction quality of the TIN and maintain the global optimality, the spatial minimum spanning tree and the convex hull polygon of an input scattered point set are constructed in advance in the application, and then the two geometric structures are used as a framework to construct the TIN. In the growth process of the TIN, it is ensured that each generated triangle has excellent morphological characteristics (satisfying the "empty circumscribed circle" or "minimum angle maximization" condition) and topological correctness, and finally a high-quality irregular triangular network is constructed. Meanwhile, a "skip" mechanism of edges and points is provided, invalid traversal is avoided in the triangular network construction process, and the time efficiency of the algorithm is maximally improved.

The application provides a spatial query performance optimization method in a geographic information system, and belongs to the technical field of geographic information systems.The application adopts three-dimensional Hilbert space-time filling curve coding and memory level columnar storage format to maintain the locality of space-time data and reduce invalid memory loading, introduces a consistent hash and adaptive space grid dynamic partitioning load balancing strategy to migrate hotspot tiles to idle nodes, adaptively distributes query requests based on a deep Q network artificial intelligence space-time load routing decision model, and dynamically adjusts the strategy update mode through an adaptive exploration rate adjustment function, triggers a repartitioning process when the query response delay exceeds a threshold, and performs garbage collection on a low-frequency version chain, thereby solving the technical problem that the spatial query performance of the geographic information system rapidly decreases with the increase of the data scale in a high-concurrency streaming spatial data input scene.

This invention relates to the fields of geographic information systems and underground pipeline detection technology, and discloses a buried optical cable detection system, including an optical cable detection module, an optical cable data acquisition module, an optical cable data analysis module, an optical cable data evaluation module, and a buried optimization module. The optical cable detection module is responsible for the preliminary detection of the location and depth of the underground optical cable. The optical cable data acquisition module is used to collect existing optical cable pipeline data and input business data. The optical cable data acquisition module includes a location data unit, a depth data unit, an environmental interference data unit, and an optical cable attribute data unit. The optical cable data analysis module calculates and analyzes the four units of data collected by the optical cable data acquisition module. The optical cable data analysis module includes an anti-interference correction unit, a depth calculation optimization unit, and a non-destructive access evaluation unit. The optical cable data evaluation module evaluates the data based on the analysis results of the optical cable data analysis module. The buried optimization module optimizes the data based on the evaluation information from the optical cable data evaluation module.

This invention provides a water environment risk assessment method and system based on multi-source information and numerical simulation, applicable to environmental risk management in key water areas such as reservoir sections of water conservancy and hydropower projects. The method includes: constructing a multi-level, multi-dimensional risk assessment index system; collecting multi-source data; classifying the various index factors of the reservoir pollution source risk assessment index system according to the magnitude of risk generated; performing dynamic index simulation based on a mechanistic model; using the fuzzy membership function method to perform dimensionless processing on the original index factors; establishing an optimal combination weighting model based on the analytic hierarchy process, entropy weight method, and coefficient of variation method, and optimizing each index factor through combined weights; calculating the comprehensive risk index and level classification of each pollution source, generating a risk list containing the risk index and level of each pollution source. This invention combines the assessment results with a geographic information system to achieve a visual display of the risk space, enabling intuitive identification of high-risk clusters.

This application relates to a life cycle impact assessment calculation method suitable for GIS-LCA, including the following steps: S01) Obtaining the process spatial location set S p S02) Obtain a list D suitable for GIS-LCA; S03) Obtain the set of spatial locations of characteristic influencing factors S c S04) Construct the spatial data matrix C of the characteristic influence factors; S05) Construct the process location set P of the characteristic influence factors. s ;S06) will P s The parameterization process is transformed into a characteristic influence factor location matrix P; S07) Calculate the score matrix H of the characteristic influence factors in spatial location; S08) Based on the score matrix H, perform environmental assessment and interpretation of the target product. This application changes the existing LCIA calculation method that mechanically adopts the flow name correspondence method. This application can utilize geographic information system technology to achieve automatic flow correspondence by means of spatial relationships, so as to meet the GIS-LCA calculation requirements for LCIA.

The present application relates to the field of geographic information system and geochemical exploration data processing technology, in particular to a geochemical anomaly spatial evaluation method based on geographic information system, comprising: obtaining a spatial node attribute database, digital elevation model data and multi-modal environmental attribute data of a target area; extracting slope gradient and water flow direction according to the digital elevation model data, establishing upstream and downstream catchment relationship, and constructing a directed acyclic spatial topology graph database; filtering chemical element concentration values in combination with environmental attributes and a preset characteristic background threshold value library to obtain effective anomaly nodes; performing reverse graph traversal on the effective anomaly nodes, combining characteristic attenuation coefficients and node catchment weights to obtain a source tracing characteristic distribution dataset; performing spatial clustering analysis on the dataset to generate a target spatial probability distribution model, and extracting a high-probability target area and a spatial coordinate set; the present application can realize anomaly migration and source tracing, improve the positioning stability of deep ore source target areas and the hit rate of high exploration tests.

This invention discloses a method, system, and terminal device for displaying a 3D geographic information system based on multiple screens, relating to the field of 3D display technology. The method includes: acquiring 3D geographic information data; constructing a 3D geographic scene in a 3D rendering engine; determining the observer's viewpoint within a physical space, which is enclosed by multiple planar display screens forming a multi-screen display; deploying a corresponding number of virtual cameras facing the corresponding screens, with the observer's viewpoint as the origin; configuring the cameras in a physical trapezoidal combination based on the physical size and position of the screens relative to the observer and calculating the asymmetric view frustum projection matrix; allocating rendering tasks to pre-built distributed rendering cluster nodes, and controlling the synchronous output of each camera's image to the corresponding screen through a hardware synchronization mechanism. This invention achieves naked-eye stereoscopic display on multiple screens, eliminates perspective distortion at screen junctions, ensures seamless synchronization of multi-screen images without tearing, and enhances the immersiveness and accuracy of 3D geographic information display.

The application provides a kind of ice lake breaching type disaster chain grading monitoring method based on disaster process, comprising the following steps: 1. Obtain remote sensing image data of the target ice lake, identify and divide the ice lake type based on the morphological characteristics and spatial relationship of the target ice lake. 2. Based on geographic information system data, evaluate the traffic accessibility level of the area where the target ice lake is located. 3. According to the target ice lake type identified in step 1 and the traffic accessibility level of the target ice lake evaluated in step 2, call the monitoring scheme matched from the pre-set scheme library. 4. Execute the monitoring scheme in step 3, obtain multi-source monitoring data, perform fusion analysis, and output the breaching risk level and warning information based on the analysis result. The application realizes the optimal configuration of monitoring resources and the effective perception of the whole process of disaster chain through classification, zoning and coordination mechanism.

This invention belongs to the technical fields of intelligent transportation systems, urban computing, and geographic information systems. It provides a method, device, equipment, and medium for predicting the utilization rate of electric vehicle charging piles. The method includes: preprocessing the raw data of the target urban area; determining a geographic adjacency graph and a travel tidal flow graph based on the obtained static and dynamic features; then performing feature weighting fusion using a time feature embedding method; performing two-layer graph attention aggregation on the geographic adjacency graph and the travel tidal flow graph based on the obtained node fusion features to obtain spatial feature embedding; using a gated recurrent unit to learn the evolution of the charging load of the grid over time; using the prediction error of the effective grid as a loss function and training with a dataset to obtain a grid charging load prediction model for subsequent predictions. This invention can effectively improve the model's environmental adaptability and prediction accuracy in different time periods.

This invention proposes a method for constructing manhole node data based on Geographic Information System (GIS) data, relating to the technical field of drainage system data analysis. First, vector data containing drainage pipes and manhole nodes, as well as DEM raster data covering the modeling area, are read. Based on the vector data, the flow direction of the drainage pipes is determined, and new manhole nodes are inserted along the flow direction according to a preset interpolation step size, calculating the inner bottom elevation of each new node. Based on the DEM raster data, the ground elevation of all nodes is extracted, and the manhole depth of each node is calculated in conjunction with the inner bottom elevation. Based on the inner bottom elevation and manhole depth of each new node, a complete geographic information dataset of manhole nodes is constructed. This solution addresses the problems of large workload and complex parameter calculations in existing SWMM modeling methods, improving the spatial resolution of the manhole node model while achieving efficient fusion and parsing of the original data, thus improving modeling efficiency.

The application relates to an open expression method of a QGIS electronic chart, which comprises the following steps: constructing an electronic chart data into an OpenGIS geometric model through a GDAL library, simultaneously reading attribute information corresponding to the geometric model; configuring a QML file for each type of element containing the attribute information; and finally normally displaying the electronic chart data through a rendering engine using QML and SVG. The application adopts QGIS and a QML style language to realize the standardized display of the electronic chart, and provides an effective way for establishing a marine geographic information system taking the electronic chart as a base map, aiming at the problem of the insufficient openness of IHO electronic chart symbolization rules.

The application discloses a kind of multi-parameter water quality synchronous detection and pollution source analysis traceability method and system, and relates to water quality monitoring technical field.The method includes: source signal screening is carried out to multimodal in-situ spectrum matrix source signal, and the candidate source signal of screening is analyzed, and pollution characteristic fingerprint spectrum is obtained;The pollution characteristic fingerprint spectrum is reconstructed on source spectrum matrix by constraint optimization, and the contribution weight of each potential pollution source to water sample pollution is quantitatively solved by minimizing reconstruction error;Based on the spatial index of node, the contribution weight of node is mapped to geographic information system, and the pollution characteristic component spatial distribution diagram is generated.The application directly solves the independent contribution weight of each potential pollution source from composite pollution spectrum by constraint optimization reconstruction, and can quantitatively separate different pollution source components in overlapping spectrum signal, to provide calculation basis for accurately locking pollution responsibility subject.

This application relates to a method, system, equipment, and medium for identifying risks during solid waste transportation. The method includes: acquiring tracking data of solid waste during transportation and constructing a transportation process model based on the tracking data; identifying transportation risks using a pre-set risk indicator system based on the transportation process model; generating a risk accumulation equation using a risk transmission model based on the transportation risks; calculating the risk evolution trend using a pre-trained machine learning model based on the risk accumulation equation; and mapping the transportation process model, transportation risks, and risk evolution trend to a geographic information system to generate a transportation risk monitoring view as the risk identification result. This method enables dynamic identification, quantitative assessment, and visual monitoring of risks throughout the entire solid waste transportation chain, improving the accuracy and timeliness of risk management.

The present application relates to remote sensing image footprint technical field, especially to a kind of based on RPC's remote sensing image fast footprint generation method.The method includes the following steps: based on the remote sensing image to be handled and its metadata, image size reading and RPC parameter analysis are carried out, obtain image size data and RPC parameter data;RPC model is constructed based on RPC parameter data;Based on RPC model and image size data, the geographic coordinates of three reference corner points of image are calculated, and the geographic coordinate data of three reference corner points is obtained;Based on reference corner point geographic coordinate data, orbit radian offset factor is calculated, and orbit radian offset factor data is obtained;nonlinear calculation is carried out based on orbit radian offset factor data three reference corner points and image size data, the geographic coverage range vector data of remote sensing image is generated in the present application, to realize the normalized expression of image coverage range, it is convenient to be quickly loaded and applied in geographic information system.

The application discloses a spatial analysis code large model fine-tuning method and system based on data distillation, and belongs to the field of geographic information science. The method first designs a prompt engineering framework that integrates knowledge fusion, data perception and diversity enhancement, and guides the teacher model to generate standardized triplets. Then, high-quality data is screened through multi-layer progressive quality control to form a knowledge distillation dataset, and the student model is fine-tuned based on the dataset to learn the professional ability of the teacher model. The knowledge distillation effect is verified through multi-dimensional comparison and evaluation, and the student model that meets the standard is determined as the final spatial analysis code large model to provide intelligent spatial analysis code automatic generation services. The application realizes the effective transfer of the professional ability of the teacher model to the student model, significantly improves the accuracy and professionalism of the student model in the spatial analysis code generation task, and provides an innovative teacher-student framework knowledge distillation fine-tuning scheme for the intelligent development of geographic information systems.

This invention discloses a configurable and customized development method and system for a GIS-based marine single-map system, relating to the field of marine geographic information system development, and solving the problems of repetitive GIS construction and low iteration efficiency in existing systems. The method includes: designing a configurable database with four logical zones, enabling configurability of functions, menus, layers, etc.; customizing and encapsulating general functional templates for spatial information tables, layer trees, statistical charts, and spatial analysis based on object-oriented principles; and completing system configuration based on the database and templates, achieving front-end and back-end linkage and fully automated data processing. The system includes a configurable database, template customization and development, and a system configuration and operation module, supporting four-level business collaboration, rapidly integrating multi-source data, and providing auxiliary decision support. This invention improves system configuration flexibility and development efficiency, providing support for marine business management decisions and emergency response.

This invention relates to the technical field of distribution network line handling systems, and in particular to a distribution network line fault analysis and handling system, comprising a multi-source data acquisition unit, an intelligent fault analysis unit, a collaborative handling unit, a system management unit, and an inspection and troubleshooting unit. The multi-source data acquisition unit is used to acquire fault-related data in real time from external multi-source heterogeneous systems, and to perform standardized processing and fusion to form a unified data pool. These multi-source heterogeneous systems include a distribution automation system, an electricity consumption information acquisition system, a geographic information system, a production management system, and a meteorological information system. By fusing multi-source data, it breaks down information silos, integrates multi-dimensional data from distribution automation, GIS, and meteorology, providing comprehensive support for fault analysis, shortening analysis time, avoiding the risk of misoperation, and improving on-site handling efficiency. The inspection robot enables non-contact temperature measurement and foreign object removal, reducing human error risks.

This application discloses an automated geographic information system (GIS) mapping method, system, device, and product, relating to the fields of artificial intelligence and military information systems. The method includes: receiving natural language operational scenario text and performing secure de-identification preprocessing; inputting the de-identified text into a locally deployed, military-knowledge-enhanced inference model for semantic parsing, outputting structured data objects; generating precise geographic coordinates based on the location descriptions in the objects by querying a local military place name knowledge graph and coordinates, and backfilling the data; automatically verifying the coordinate-bearing data; and finally, automatically generating and mapping corresponding military symbols in the GIS according to the verification results and user permissions, obtaining a standardized military mapping layer. This application achieves end-to-end fully automated, high-precision conversion from unstructured text to standardized battlefield situation maps, significantly improving the efficiency and accuracy of military mapping while ensuring information security.

The application discloses a system and method for monitoring road traffic congestion and / or traffic accident risk, belonging to the field of intelligent transportation data system technology. In some embodiments, the system comprises: a plurality of vehicle-mounted sensors; a cloud server comprising a vehicle fleet management system, an information hub and a geographic information system platform; and at least one terminal. Other example embodiments are discussed herein. In some embodiments, the provided system and method support intelligent traffic / mobility and improve overall road traffic safety, further promoting the development of smart cities.