32 results about "Geographic entity" patented technology

This application belongs to the field of digital twin basic data management technology. This application provides an automated method and apparatus for generating spatial identity codes for basic geographic entities. The embodiments of this disclosure acquire the geometric and classification information of basic geographic entities under a unified spatiotemporal reference, automatically calculate the minimum bounding rectangle / minimum outer cube, adaptively select the minimum grid level that can contain the geometric range, and generate two-dimensional or three-dimensional location codes level by level according to the BeiDou grid location code rules. These are combined with classification codes and sequence codes to form a standard field; then, a proprietary identification field is formed by combining this field with root identifier codes and special codes, and extended fields are added as needed to achieve interaction with external codes. This can realize the automated generation, verification, parsing, and traceability of spatial identity codes in scenarios such as provincial, municipal, and county collaborative production updates, two-dimensional / three-dimensional integrated database construction, semantic association, and service publishing, providing unified support for the data organization and management of basic geographic entities and cross-industry interconnection.

A spatial decision-making suggestion generation method and system based on LLM and a geographic knowledge base, relating to the field of data processing technology, is disclosed. This method first establishes a knowledge base containing spatial geometric data of geographic entities. When a user's natural language decision query is received, a large language model is used for semantic parsing to extract the decision objective, spatial entities, and constraints. The system retrieves candidate knowledge from the knowledge base through semantic similarity calculation and evaluates the spatial compliance confidence level of each candidate based on the spatial geometric data and constraints. Subsequently, the candidate knowledge is hierarchically labeled according to confidence level to construct structured text, which is then injected into the large language model through a preset template. Finally, the system generates a spatial decision report based on the injected structured information. Implementing the technical solution provided in this application can improve the accuracy of spatial decision-making suggestions.

The application provides a method and device for modeling a geographical entity conversion relationship, electronic equipment, a storage medium and a computer program product. According to an embodiment of the application, a plurality of form nodes of a geographical entity and attribute values of each form node are established, including two-dimensional data expression and three-dimensional data expression corresponding to each form node, a mapping relationship between a geographical information element and the geographical entity is configured, spatial entity relationships of one or more geographical entities in converted target data are calculated, unique entity codes of the one or more geographical entities are obtained based on the spatial entity relationships, and the unique entity codes of the one or more geographical entities are stored in preset fields of a two-dimensional data expression set and a three-dimensional data expression set, so as to link and associate a three-dimensional model and a two-dimensional vector. The above scheme can enhance the flexibility of database structure adjustment and data conversion, realize the association of a three-dimensional model and an entity vector graph, reduce intermediate processing steps, and improve conversion efficiency.

The application discloses a natural resource data association and graph display method and device and a storage medium, and relates to the technical field of geographical entity space identity coding. The method comprises the following steps: generating a space identity code of a geographical entity, wherein the space identity code is used for uniquely identifying the geographical entity in a global range; based on a preset association rule, an association relationship between the space identity code and original codes of at least one natural resource business data is established, and association data is obtained; according to a natural resource business process, a semantic relationship between the association data is defined; and based on the association data and the semantic relationship, a knowledge graph reflecting the space-time change of natural resources is constructed and displayed. The scheme combines the characteristics of geographical entity space identity coding, such as space position determination, global uniqueness and space-time association, and connects multi-source space-time data across businesses, systems and departments through geographical entity space identity coding, so that all-chain data falls on the same space unit.

This invention discloses a data acquisition method based on DSM and DOM, simultaneously loading DSM data, DOM data, flight path data, and boundary line data, performing coordinate transformation and processing; acquiring feature outline vector data based on DOM data, and collecting feature elevation information based on the OSGB format model generated from DSM data; and performing projection correction through a correction algorithm, translating features with projection discrepancies perpendicular to the flight path direction to obtain the true outline position of the features. This invention breaks the constraints of traditional acquisition methods, designing a projection correction algorithm based on inherent mathematical principles to achieve projection correction, solving the drawbacks of inconsistencies between acquired feature outlines and reality, and significant inversion phenomena, thus improving the spatial position accuracy of the acquired data. It not only realizes basic scale topographic mapping functions and new basic surveying and mapping geographic entity acquisition and editing functions, but also realizes modeling data acquisition and editing functions.

The application provides a position determination method and device, relates to the technical field of data processing, and can realize conversion of address text into position information of a geographic space structure. The specific scheme comprises the following steps: firstly, address text is acquired; geographic entities and spatial relationship entities in the address text are extracted; the geographic entities represent geographic objects occupying spatial positions in a geographic space, and the spatial relationship entities represent spatial relationships between the geographic entities; and the geographic space position corresponding to the address text is determined according to the geographic entities and the spatial relationship entities.

This invention provides a method and device for intelligent question answering of geographic information based on knowledge graph-based prompt enhancement. The method includes: semantically parsing a natural language question to identify geographic entities and extracting quantitative elements, thereby determining whether it is a statistical question that can trigger a structured query; retrieving a local subgraph from a geographic knowledge graph based on the geographic entity and converting it into a knowledge prompt in natural language form; if it is a statistical question, executing a first processing path: querying a structured geographic statistics database based on the quantitative elements to obtain target data, and integrating it with the knowledge prompt as the first input information; otherwise, executing a second processing path, using the knowledge prompt as the second input information; and inputting the question and corresponding input information into a pre-trained language model to generate an answer. Based on this method, an intelligent question answering device for geographic information is also proposed. This invention improves the accuracy, interpretability, and traceability of geographic question answering through a dual-track collaborative mechanism combining knowledge graph-based prompt enhancement and dynamic data retrieval.

This invention discloses a method for constructing a terrain-level basic geographic entity data model, comprising: acquiring surveying and mapping geographic information, including remote sensing images, elevation data, and geomorphic classification data; obtaining terrain rasters based on elevation data from different time phases using remote sensing images; dividing terrain semantic units according to the terrain rasters; extracting terrain change semantic categories of terrain blocks using geomorphic classification data; outputting vector surface boundaries of remote sensing image pairs and terrain rasters labeled with the terrain change semantic categories through a centroid network; obtaining spatial association results between geographic entities and terrain semantic units based on the vector surface boundaries; assigning terrain semantic attributes to entities based on the spatial association results; and constructing a terrain-level basic geographic entity data model through neural symbol fusion. This method utilizes multi-scale signal-to-noise ratio adaptive weighting and hard classification rule constraints to enhance semantic adaptation to terrain changes and improve the accuracy and interpretability of geographic entity data modeling.

The application discloses a chart automation quality control method and system facing S-100 standards, and belongs to the technical field of electronic chart data processing. The application gives different geometric confidence weights to the boundary nodes of the heterogeneous layers by analyzing the data quality evaluation attributes in the metadata of different S-100 product data sets; after identifying the conflict geometric chain pairs representing the same geographical entity, the weighted coordinate adjustment algorithm is executed by taking the weights as the regularization constraint term, the low-weight elements are driven to adaptively fit the high-weight elements, and meanwhile, the geometric features of the high-precision data remain unchanged; and finally, the topological relationship of the correction area is automatically recovered. The application realizes the automation and precision-maintaining correction of the geometric deviation of the S-100 multi-source product layers, eliminates the navigation logic hidden danger caused by the inconsistent layer superposition, and significantly improves the efficiency and quality of the S-100 chart data integration.

This invention belongs to the field of geographic information technology, specifically relating to a method for determining the directional relationship between geographic entities. This method determines the distance between two geographic entities according to predefined rules. When the distance is considered close, an angular directional relationship model is used to determine the directional relationship between the two entities. In other words, by using an angular directional relationship model when two research objects are relatively close, the directional relationship between the two geographic entities can be determined. Because the angular directional relationship model can consider the influence of the entity's shape on the directional relationship determination, even when the research objects themselves have uneven shape distribution, the directional relationship between the two research objects can be accurately determined. This effectively avoids the error in judgment results caused by uneven shape distribution when using a DRM model in such cases.

This invention discloses a spatial grid generation method based on geometric constraints, specifically including: acquiring spatial range data of the target area and performing latitude and longitude analysis to generate a reference grid set; constructing a Cartesian coordinate system and converting latitude and longitude into a spatial coordinate set; performing recursive quadrilateral partitioning based on preset side lengths to generate a multi-level equidistant grid cell set; establishing a hierarchical mapping using GeoSOT level 15 grids to form a fused grid structure; establishing an encoding structure to generate a grid encoding sequence; establishing geographic entity mapping relationships to generate a grid set; and performing distance calculation, area calculation, and intersection / merge operations based on the grid set to generate topological relationship results. This invention achieves equidistant partitioning and fused encoding calculation of spatial grids, significantly reducing the complexity of spatial distance and area calculations while improving computational accuracy and processing stability.

This invention provides a method for constructing relationships in a land spatial information model (TIM), relating to the field of data processing. Specifically, it includes the following steps: generating a three-segment structured code for geographic entities; constructing a "topological potential field emergence engine for geographic entity relationships" based on the generated three-segment structured code, automatically deriving multi-dimensional relationships between geographic entities, and outputting a standardized and evolvable geographic entity relationship map; and achieving integrated coding fusion and application across provinces, cities, and counties based on a hierarchical mapping knowledge base and a resource code fusion model, supporting smooth migration of existing data and end-to-end business collaboration. The technical solution of this invention overcomes the problem in existing technologies where the association logic between various domains and TIM geographic entity relationships is not yet clear, making it difficult to support the integration of multi-dimensional geographic entity relationships based on time, attributes, and business.

The application discloses a kind of based on the cultivated land patrol method and system of geographical entity space identity coding, method includes the following steps: step S1: target cultivated land is assigned geographical entity space identity coding, cultivated land core information and the state identification of visual two-dimensional code containing are generated based on geographical entity space identity coding, geographical entity space identity coding and two-dimensional code information are stored in distributed database;Step S2: obtain unmanned aerial vehicle patrol image, and carry out pretreatment and feature extraction, detect cultivated land non-agricultural, non-food illegal behavior by intelligent identification model, generate the suspected illegal clues of associated unique code;Step S3: identification is carried out based on suspected illegal clues, and dynamically update two-dimensional code state according to identification result.

This application discloses a path guidance method and apparatus. The method includes: responding to a trigger operation on a physical carrier in the environment of a terminal device, the physical carrier carrying information of a target geographic entity; acquiring information of a first location corresponding to the terminal device and information of a second location corresponding to the target geographic entity; acquiring a navigation path starting from the first location and ending at the second location; and outputting navigation guidance information corresponding to the navigation path, the navigation guidance information being used to instruct an object to move from the first location to the second location. This application can improve path guidance efficiency and user experience.

This application discloses a method, system, equipment, and storage medium for updating ground elevation points, relating to the field of basic geographic entity classification and updating. The method includes: preparing the updated results of basic geographic entities corresponding to the work area, baseline elevation point data, point cloud, or digital elevation model; determining the elevation point extraction interval and extracting triangular elevation point data; classifying and screening basic geographic entities such as buildings / structures, water conservancy facilities, and transportation, extracting various feature features, and generating special area surfaces and exclusion area surfaces; extracting feature elevation point locations of different priorities based on various feature features according to preset priorities and extraction rules; purifying the feature elevation point locations, baseline elevation point data, and triangular elevation point data respectively, extracting elevation points within special area surfaces, and deleting elevation points within exclusion area surfaces; merging the processed elevation points and trimming them according to the work area, processing the trimmed elevation points, and forming the elevation point update results.

This application provides a method and system for extracting entity relationships from ancient Chinese geographical texts. The method includes: acquiring document text; using a global classifier to obtain the predicted entity types and relationship types in the document text; extracting continuous text segments of length that meet a preset condition from the document text and using them as candidate spans; obtaining the entity class probability distribution for each candidate span and using it as entity class probability distribution information; obtaining the entity subclass probability distribution for each candidate span and using it as entity subclass probability distribution information; identifying candidate spans with subclass predicted probabilities higher than their corresponding thresholds as identified entities and generating candidate entity pairs; obtaining the relationship class probability distribution; obtaining the relationship subclass probability distribution for each of the aforementioned relationship subclasses and using it as relationship subclass probability distribution information; filtering out entities and relationships with probabilities higher than their corresponding preset thresholds; and constructing a structured extraction result based on the filtered entities and relationships.

The invention relates to the technical field of virtual reality processing software, and discloses a hierarchical loading and rendering method for three-dimensional geographic space data, which comprises the following steps: extracting a displacement vector and a rotation deflection amount of a virtual camera, calculating a weight sensitive field angle according to the displacement vector and the rotation deflection amount, and constructing a rendering weight distribution area in a view cone, the method comprises the following steps: determining a rendering loading weight according to a deviation angle of a geographic entity node relative to a visual axis, distributing an asynchronous scheduling queue by utilizing the rendering loading weight, matching detail levels, monitoring time consumption of a rendering pipeline frame in real time, executing grading and degrading processing when the time consumption exceeds a threshold value, and calling a rendering shader to execute linear interpolation. According to the method, resource allocation is dynamically adjusted according to viewpoint motion features, the problem of data loading lag in high-dynamic interaction is solved, continuous details of a visual center area are guaranteed through a weight-sensitive closed-loop degradation mechanism, geometric jump is eliminated, and the rendering stability of a three-dimensional geographic scene is improved.

This invention discloses a rapid method for constructing semantic electronic maps based on geographic entities, comprising: determining the entity category of each element in the basic surveying and mapping data of the area to be constructed based on a multi-level classification framework, and lightweight compressing the basic surveying and mapping data of each element; converting the geometric surveying and mapping data and attribute information of the elements into geographic entity geometry and geographic entity attributes according to the geometric mapping and attribute mapping relationships of the elements, constructing multi-dimensional semantic relationships of entities, and obtaining two-dimensional geographic entities; selecting a three-dimensional transformation method according to the type of the two-dimensional geographic entity to convert the two-dimensional geographic entity into a three-dimensional geographic entity; performing conflict detection on the generated three-dimensional geographic entity model, and handling the conflict of elements, correcting the corresponding three-dimensional geographic entities to ensure the reliability and accuracy of the constructed three-dimensional geographic entities; and finally constructing a three-dimensional electronic map based on the three-dimensional geographic entities of all elements.

The application discloses a kind of fusion space, text and geographical entity alignment method of semantic, which first obtains knowledge graph 1 and knowledge graph 2, obtains the candidate entity pair to be carried out entity alignment, and based on entity latitude and longitude coordinates Sphere distance is calculated, and be converted into similarity score;Then extract entity name or description text, calculate text similarity after word segmentation, and according to the characteristics of geographical knowledge graph relationship sparsity, use knowledge graph embedding model TransR, and encode entity text into vector, evaluate deep semantic correlation by cosine similarity;Then dynamically integrate three kinds of similarity of space, text and semantic, set weight according to the importance of three kinds of similarity in different application scenarios, generate comprehensive score, finally select the highest score entity pair to realize accurate alignment.The method cooperates learning space position, text feature and deep semantic information, significantly improves the alignment accuracy and robustness of geographical entity.

The application discloses a planar geographic entity self-supervision matching method and device and medium, relates to the field of geographic entity matching, and comprises the following steps: acquiring two different source historical data sets, dividing entity pairs into three matching types of 1:1, 1:M and M:N according to spatial intersection relationship, and adopting a convex hull to integrate multiple matching entities to calculate a similarity index. A first loss function is constructed by calculating the standard deviation of the matching number under different threshold values of the similarity index, a threshold range is dynamically determined, and a pseudo label is generated. A three-branch neural network model is constructed in this way, each branch is matched with an appropriate weight for different similarity indexes by fusing an attention mechanism and Grad-CAM, the pseudo label is used as a sample, a second loss function is minimized as a target for training, and the trained model is used to realize accurate matching and correlation of target planar geographic entity data. The application improves the matching precision of planar geographic entities and realizes self-supervision matching of planar geographic entities.

This application discloses a route planning method and apparatus. The method includes: acquiring first location information corresponding to a navigation terminal; responding to a navigation trigger operation, obtaining a target geographic entity identifier; matching the target geographic entity identifier in a database to obtain second location information corresponding to the target geographic entity, the second location information including the actual location information of the target geographic entity and the location information of indoor / outdoor transition points traversed by the navigation to the target geographic entity; generating a continuous navigation path based on the first location information, the actual location information, and the location information of the indoor / outdoor transition points, the continuous navigation path including a first navigation path and a second navigation path connected to the first navigation path. This application enables integrated indoor / outdoor route planning, improving route planning efficiency and user experience.

The application provides a large model driving-based zero-sample geospatial task execution method and system, belonging to the technical field of artificial intelligence. The method comprises: acquiring and analyzing a geospatial task described in language, identifying a task target and a constraint condition through a zero-sample inference capability of a pre-trained large model; generating a geospatial task intent based on the task target and the constraint condition; based on the geospatial task intent, calling relevant geospatial entity information and service resources from a geographic information system and constructing a task planning graph; based on each subtask node in the task planning graph, matching corresponding atomic operations from a pre-constructed atomic tool library of the geographic information system to obtain an operation sequence; based on the operation sequence, generating executable script code compatible with a geographic information system runtime environment; executing the executable script code to obtain an execution result; converting the execution result into a natural language description, a visual map or standard format data, and feeding back to the user.

This invention relates to the fields of artificial intelligence, computer vision, and remote sensing change detection, and discloses a language-visual change detection method driven by a large visual model and spatiotemporal knowledge graph. The method includes: constructing prior fuzzy semantic information and generating vector geographic entities based on a large visual model and large remote sensing data; constructing a spatiotemporal change geographic knowledge graph and converting it into a full-spatiotemporal context geographic description language, then deconstructing it into abstract high-dimensional knowledge semantic features using a natural language processing model; extracting multi-scale visual features from dual-temporal remote sensing images using an encoder to enhance local-global perception capabilities and decoding the output visual features; aligning the knowledge semantics with the visual features, calculating the contribution of the abstract high-dimensional semantic features to the visual features, suppressing noise, and upsampling to the resolution of the original image; and constructing a joint loss function to optimize and train the model. This invention significantly improves the interpretability, accuracy, and adaptability to complex scenarios in change detection tasks.

The application provides a geographical entity evolution deduction method and device based on a multi-scale space-time graph representation. The method comprises the following steps: constructing geographical entity nodes containing different scales based on multi-source geographical data; constructing a multi-scale space-time graph; performing graph convolution network processing on the space-time graph, combining a cross-scale aggregation mechanism to realize context information fusion between different levels, outputting spatial embedding vectors of each node, inputting the vectors into a long short-term memory network to extract time evolution features, and obtaining time embedding vectors; fusing the spatial and time embedding vectors to obtain comprehensive space-time feature vectors; predicting a future state of the geographical entity by using a prediction model based on the comprehensive space-time feature vectors, and performing spatial pattern deduction by using a spatial deduction model combined with a neighborhood evolution rule to generate a future land use pattern map. The application also provides a corresponding device. The application realizes high-precision prediction of a geographical entity state and rationalized deduction of a spatial pattern.

The application relates to a data query method and device for a travel SaaS platform, an electronic device and a storage medium, which comprises the following steps: performing semantic analysis on input content of a front-end user to obtain semantic text; identifying text entities in the semantic text, obtaining target entities matched with the text entities from a travel domain knowledge base, and configuring an entity dictionary in the travel domain knowledge base, wherein geographical entities, business entities and time entities are configured in the entity dictionary; determining a user intention according to the target entities; if the user intention is data query, identifying a predefined business rule template according to the user intention, generating a query statement according to the target entities and the predefined business rule template, and sending the query statement to a target database; and feeding back target data returned by the target database to the front-end user. The above method can accurately identify entities in input content of a user through a special travel domain knowledge base, thereby improving the accuracy of data query.

This invention discloses a method and system for multimodal storage and retrieval of geographic entities, comprising: a four-layer progressive storage structure divided according to semantic abstraction levels, with each layer vertically connected by a globally unique entity identifier, and each layer capable of independent field expansion or data updates without affecting the query availability of other layers; a six-modal fusion unified vector generation module, which generates a unified dense vector by projecting and fusioning six modalities (visual, symbolic, geometric, contextual, attribute, and knowledge) through a network; a unified query engine for seven types of queries, which automatically selects the optimal storage layer according to the query type, supporting spatial, attribute, semantic, vector, hybrid, relational, and natural language queries; a human-computer collaborative interface based on open standard protocols; and a relational graph module. This invention achieves comprehensive, multimodal, progressive storage and intelligent retrieval of geographic entities from geometry to semantics.

This invention discloses a dynamic hierarchical storage and visualization method for geospatial data based on spatiotemporal entropy, comprising the following steps: First, through a data access layer, static attribute data and spatial neighborhood data of the target geographic entity are concurrently read from a heterogeneous database cluster to initialize the computational data. Second, a dynamic quantization model of spatiotemporal entropy is constructed to calculate the real-time spatiotemporal entropy value of the geographic entity. Based on the comparison result between the spatiotemporal entropy value and a preset threshold, the geographic entity data is dynamically scheduled to a hot data layer, a warm data layer, or a cold data layer. Third, visualization loading and rendering are performed based on the storage hierarchy. The front-end rendering engine performs differentiated geometric resource loading and visual shading according to the storage hierarchy. This invention ensures the visibility of key information in emergency or high-concurrency access scenarios while reducing the overall system hardware cost requirements.

This invention discloses a method, apparatus, device, and medium for completing communication resource address coordinates, relating to the field of communication technology. The method includes: acquiring multiple communication resource addresses to be processed that lack geographical coordinates and contain multi-level administrative division information; for each communication resource address to be processed, determining candidate geographical coordinates based on its corresponding geographical entity prefix; for each candidate geographical coordinate, determining whether it is within the geographical boundary of the corresponding administrative region; if so, extracting the upper-level regional identifier from the geographical entity prefix, and performing spatial rationality verification on the candidate geographical coordinates based on the upper-level regional identifier to obtain the final geographical coordinates, thereby completing the corresponding communication resource address to be processed based on the final geographical coordinates. This invention achieves efficient and accurate completion of massive address coordinates through address aggregation dimensionality reduction and two-level spatial verification.