34 results about "Geocoding" patented technology

The invention relates to the technical field of combined transport management, and discloses a multimodal combined transport waybill automatic matching method and system.The method comprises the steps that waybill key information is extracted through a multimodal OCR technology and converted into a unified format through a standardized processing model, then space-time geocoding and multimodal combined transport line simulation are carried out, and the multimodal combined transport waybill key information is obtained; according to the method, path clustering processing is carried out based on a graph convolutional neural network, path selection is optimized by using an ant colony algorithm, a path scheme is updated in real time through a combined transport decision platform, optimization analysis is carried out in combination with real-time data, and an optimal combined transport scheme is finally generated. The intelligent and automatic level of multimodal transport is effectively improved, and the problem that an optimal scheme is difficult to provide for complex multi-waybill multimodal transport in the prior art is solved.

The application discloses a distributed InSAR system atmospheric phase correction and deformation extraction method, belongs to the field of satellite image processing, and is characterized in that the method comprises the following steps: acquiring multi-satellite near-synchronous observation data of a distributed InSAR system to perform image registration; performing conjugate multiplication on the registered images to obtain interference phases; performing difference on the two interference phases to perform atmospheric phase correction; performing phase filtering processing on the interference phases after the atmospheric phase correction; performing phase unwrapping on the interference phases after the filtering processing; and performing geocoding processing to complete deformation extraction. Through near-synchronous imaging of multiple platforms on the same region, the generation path of time dimension interference is cut off from the physical layer, the influence of short-term atmospheric fluctuation on the phase is greatly weakened, noise and ambiguity in the phase unwrapping process are further removed in combination with the redundancy of multi-view observation of the distributed system, and high-precision extraction of the surface deformation field is realized.

Embodiments of the present application provide a method and device for determining the geographic coding of a traffic station of a target trip. The method comprises: obtaining origin station data, arrival station data and trip information of the target trip; querying at least two groups of candidate arrival station data according to the arrival station data; obtaining at least two groups of multi-dimensional feature vectors according to the origin station data, the trip information and each group of candidate arrival station data; determining the geographic coding of the traffic station of the target trip according to the two groups of multi-dimensional feature vectors; and outputting the geographic coding of the traffic station of the target trip. Embodiments of the present application can accurately distinguish between stations with the same name but different locations, effectively reduce the error rate of zoning identification, and ensure the accuracy of core businesses such as fare setting and financial subsidy allocation.

The invention discloses an address data processing method and a geocoding method, and the address data processing method comprises the steps: processing sample data, and obtaining partial order relation sample data for sample target address data; according to the preset correlation index data and correlation index data between multiple pieces of specified sample candidate address data contained in the partial order relation sample data and the sample target address data, obtaining matched sample candidate address data of which the correlation index data with the sample target address data is greater than the preset correlation index data. The initial model is trained through the partial order relation sample data, so that the association index data between the target recall address data predicted by the trained address association index model in the multiple recall address data of the to-be-queried address data and the to-be-queried address data is greater than the preset association index data; and the accuracy of the target recall address data obtained by the model is improved.

A technique for interacting with map-related information integrates the use of a machine-trained language model. Upon submission of a query, the technique uses the machine-trained language model to assess at least one intent associated with the query. The technique then invokes an intent-specific processing flow to provide an output result. Each processing flow invokes the use of at least one processing engine to perform an engine-specific task, such as geocoding, route finding, or image retrieval. A processing flow can also call on the machine-trained language model one or more additional times. In some cases, the technique includes a feedback mechanism for soliciting additional information from a user.

This invention provides an address mapping method, apparatus, electronic device, and storage medium based on a geocoding library. The method involves: acquiring address query information; parsing the address query information to obtain address information features; matching the address information features against a geocoding library to obtain a candidate address list corresponding to the address information features; evaluating the matching degree of the candidate addresses in the candidate address list; and selecting the candidate address with the highest matching degree score as the target candidate address. This invention can obtain the target candidate address during the address query process by matching the parsed query information with data in the geocoding library, thus ensuring the accuracy of address matching. Furthermore, it can automatically select one from the matching results as the final address matching result based on pre-set scoring rules, thereby achieving automated address matching and reducing the degree of manual intervention. This invention can be applied to the field of geographic information system technology.

The application relates to a lithium battery equipment management method based on geographical position distribution. The method is characterized in that: an inverse geocoding database is established in advance, each inverse geocoding data corresponds to a POI (point of interest), and the geographical position corresponding to the inverse geocoding data is determined; after the lithium battery equipment periodically reports the longitude and latitude information of the current position, the current position is subjected to inverse geocoding by an inverse geocoding server, and the current geographical position description of the lithium battery equipment is quickly obtained through the query matching of the inverse geocoding and the inverse geocoding database; and the current area information of the lithium battery equipment is obtained in combination with the inverse geocoding database, and the device state information and fault information are displayed, so that the lithium battery equipment operation scheduling is facilitated, and the operation efficiency is improved.

The embodiment of the invention relates to the technical field of geocoding, and discloses a geocoding matching method and device, equipment and a medium. Loading a road name address, and performing word segmentation processing on the road name address by using an IK word segmentation device; calculating the word segmentation word frequency of the road name address, forming a word frequency vector, and storing the word frequency vector of the road name address in a cache; obtaining a to-be-matched geographic address, and performing word segmentation processing on the to-be-matched geographic address by using an IK word segmentation device; calculating word segmentation word frequencies of the geographic addresses to be matched and forming word frequency vectors; traversing the word frequency vector of the road name address in the cache, and calculating a similarity value between the word frequency vector of the geographic address to be matched and the word frequency vector of the road name address by using a cosine similarity algorithm; and according to the similarity value, determining a road name address having the highest similarity with the geographic address to be matched, and outputting corresponding geographic coordinates. The technical problem of inaccurate geocoded word matching can be at least solved.

A system, method, and server for cloud-enabled data processing are provided. The system includes receiving data, pre-processing the data, and a server including a data acquisition module for receiving the data, a data ingestion module for ingesting and pre-filtering the data, transferring the pre-processed input data to edge computing units, an extraction module for performing geocoding and enrichment on the pre-processed input data to extract multidimensional landscape features including georeferenced data, an ML pre-processing module for applying one or more supervised or unsupervised ML algorithms to analyze the georeferenced data to detect anomalies and potential threats, data archiving storage for storing data and the multidimensional landscape features according to lifecycle management rules, a data indexing and cataloguing module for integrating with data catalog services to create metadata for the archived data stored in the data archiving storage, a prioritized data transmission module for transmitting prioritized data to end users.

The invention discloses an intelligent vehicle searching system and method without a high-precision map based on multi-modal perception, and relates to the field of intelligent traffic and computer vision, and the system comprises a data acquisition module, an index construction module, a positioning verification module, a sequence recording module and a matching navigation module. According to the method, on the basis of feature point cloud construction and lightweight semantic recognition of ORB-SLAM3, instant modeling of the local environment of the parking lot is realized, and the system construction and maintenance cost is remarkably reduced. Multi-sensor fusion is adopted to form a three-layer positioning verification system, a conflict resolution mechanism is set, and supplementary visual angle acquisition is triggered through secondary identification, so that the positioning precision is improved, and the problems of insufficient precision and error accumulation of a single sensor are effectively solved. The visual semantic feature sequence from the parking space to the exit is automatically recorded after parking is completed, reverse indexing and matching are carried out in the vehicle searching stage, the visual navigation path is generated in combination with AR and voice prompt, and user-level high-robustness vehicle searching experience can be achieved without a coordinate map.

This application discloses a method, apparatus, equipment, and medium for automatically dispatching power connection application work orders, belonging to the field of power business data processing. The method involves: sequentially performing structured parsing and geocoding on the application address text to obtain several candidate geographical coordinates; spatially matching each candidate geographical coordinate with a preset power supply grid boundary library to obtain the corresponding power supply unit code and boundary distance; calculating the confidence level of each candidate geographical coordinate using a preset scoring function, and then filtering based on the confidence level to obtain the target power supply unit code, its target confidence level, and target boundary distance; when the target boundary distance is not lower than a preset boundary threshold and the target confidence level is not lower than a preset confidence threshold, the work order is dispatched to the target power supply unit. Therefore, by implementing this application, the problem of low address accuracy in the automatic dispatch of power connection application work orders in the prior art can be solved.

This invention belongs to the field of synthetic aperture radar interferometry and discloses a method for elevation inversion of the Hongtu-1 distributed wheel formation InSAR satellite, which can effectively improve the elevation inversion accuracy of digital elevation models (DEMs) for complex terrain. The method first establishes an equivalent phase center, simplifying the original bistatic imaging geometric model of the auxiliary satellite into a self-transmitting and self-receiving single-baseline multi-pass InSAR geometric model. Then, based on the single-baseline multi-pass InSAR geometric model, primary and secondary images are registered, generating three primary and secondary image pairs interferograms with different baseline lengths. These are then combined with parameters such as orbital information for terrain de-flattening phase processing. The de-flattened interferograms undergo multi-baseline phase unwrapping to recover the absolute terrain phase. Finally, the unwrapped phase is converted into the target scene elevation, and after geocoding, a DEM of the target area is generated.

The present application relates to a kind of solid waste traceability analysis methods based on knowledge graph, the method is by collecting and fusing structured flow document, GPS track, RFID signal, video monitoring and multi-modal data such as environmental sensor, complete space-time collection, denoising standardization, uniform alignment and geocoding, construct node level confidence probability model;And utilize multi-modal signal collaborative correction abnormal node state, the result after correction dynamic update solid waste flow knowledge graph, realize the global traceability of abnormal path and business decision feedback, combined with continuous model iteration and knowledge closed loop optimization, effectively improve the discrimination accuracy of solid waste flow abnormal traceability.

The invention relates to the technical field of engineering document management, in particular to a geographic information engineering document automatic retrieval and display method and related equipment, which have the following core functions: extracting three elements of engineering codes, names and geographic positions by a regular expression; calling a geocoding service to obtain accurate longitude and latitude; an interactive map is generated, engineering codes and names are matched according to longitude and latitude, and detail checking through clicking is supported; and finally outputting a visual map file containing project distribution, and storing the visual map file in an HTML format. The whole process realizes full-automatic processing, and the engineering information management efficiency is effectively improved. The scheme is suitable for engineering file management, regional planning analysis and other scenes, supports self-definition of map styles and marking styles, and meets diversified visualization requirements.

The embodiment of the invention discloses a map grid region merging method and device, electronic equipment, a storage medium and a product. The method comprises the following steps: determining a boundary feature point set of each to-be-merged grid region in original map data; for each to-be-merged grid region, coding each boundary feature point in the boundary feature point set corresponding to the to-be-merged grid region based on an HEX coding optimization GeoHash algorithm, and generating a boundary point geocoding set; inputting the boundary point geocoding set corresponding to each to-be-merged grid region into a pre-trained grid merging decision model, and obtaining a target grid merging strategy output by the grid merging decision model; and on the basis of the target grid merging strategy, performing a merging operation on each to-be-merged grid region. According to the scheme, the grid regions with irregular shapes can be effectively merged, the shapes of the merged grid regions can be kept, and the intelligent level and decision-making efficiency of grid region merging are also improved.

Provided are methods, systems, devices, apparatuses, and tangible non-transitory computer readable media for navigation and geocoding. The disclosed technology can perform operations including accessing location data and semantic tags. The location data can include information associated with locations including the location of a carrier and the location of a passenger. The semantic tags can include information associated with features of the locations. The location data and the semantic tags that satisfy meeting criteria can be identified. The meeting criteria can be associated with a suitability of a location for the carrier and the passenger. A meeting location for the carrier and the passenger can be determined based on the location data and the semantic tags that satisfy the meeting criteria. Furthermore, indications associated with the meeting location can be generated based on the features of the meeting location.

The invention discloses a visible light-SAR (Synthetic Aperture Radar) image registration method based on improved block local self-similarity descriptors, and belongs to the field of remote sensing image processing. The method specifically comprises the following steps: firstly, inputting visible light and SAR images which are already subjected to geocoding, and respectively calculating maximum moment diagrams of phase consistency; then, detecting and screening feature points of the visible light maximum moment graph by using a Harris operator, and intercepting a visible light slice of each feature point; setting a candidate matching point search box on the SAR maximum moment image to obtain candidate SAR slices; for each pair of visible light slices and candidate SAR slices, block local self-similar feature vectors are calculated, and normalized cross-correlation (NCC) is calculated; and selecting the candidate SAR slice with the maximum NCC value, and determining a candidate matching point in the center of the candidate SAR slice and the optical feature point as a matching point pair. After all matching point pairs are obtained, outlier matching point pairs are removed according to the 3 principle, image coordinate transformation is calculated through the remaining matching point pairs, and finally visible light-SAR image registration is completed. According to the invention, the matching precision of the local self-similarity operator is improved.

The embodiment of the invention provides a method and a device for determining geocodes of traffic stations of a target travel. The method comprises the following steps: acquiring starting station data, arrival station data and travel information of the target travel; querying at least two groups of candidate arrival station data according to the arrival station data; obtaining at least two groups of multi-dimensional feature vectors according to the starting station data, the travel information and each group of candidate arrival station data; according to the two groups of multi-dimensional feature vectors, determining a traffic station geocode of the target journey; and outputting the traffic station geocodes of the target journey. According to the embodiment of the invention, the same-name different-place sites can be accurately distinguished, the zoning identification error rate is effectively reduced, and the accuracy of core services such as ticket price making and financial subsidy distribution is ensured.

An advanced multi-agent pathfinding and optimization system for logistic networks, revolutionizing fourth-party logistics (4PL) management through Multi-Agent Reinforcement Learning (MARL). It aims to optimize package transportation across multi-hub networks, shifting from a volume-driven approach to a rate-driven model. This system adapts dynamically to business fluctuations, redefining risk dynamics in logistics. It prioritizes shipments based on rate tiers, altering risk distribution and incentivizing efficiency over volume. The system addresses current logistical challenges by integrating multi-modal perspectives and anticipating real-time disruptions, overcoming scalability, adaptability, and dynamic change limitations. Important features include an advanced “GeoEngine” for accurate geocoding, a first / last mile engine with VRP solutions, real-time A* algorithm implementation for hub assignment, and a comprehensive RL model utilizing Q-learning with lightGBM. This system provides a more balanced, market-driven approach to logistics, offering a paradigm shift in efficiency, adaptability, and strategic rate management.

The invention discloses an urban DSM generation method and device for a four-satellite formation single-flight SAR, and belongs to the technical field of radar measurement. The method comprises the following steps: data preprocessing: carrying out precise registration on four-satellite formation complex SAR images and removing terrain phases; extracting homogeneous pixels, and determining a homogeneous pixel set of each pixel as a self-adaptive multi-window based on the amplitude information; structure phase compensation: estimating and compensating a non-stationary structure phase for a strong point target; calculating the height of the target, constructing a covariance matrix by using the compensated interferogram, and calculating the height of the pixel through a spectrum estimation method; removing abnormal points based on an energy entropy dispersion index, and screening and removing abnormal pixels; and geocoding, solving longitude and latitude in combination with target height and orbit information, and generating a final DSM. According to the method, high-precision and high-resolution urban DSM reconstruction can be realized only by navigating SAR data for one time, so that the problem of time decoherence is effectively avoided, and the surveying and mapping efficiency and the product quality are remarkably improved.

A computer-implemented method for encoding geographic locations using a hierarchical grid system. The method involves dividing the Earth's surface into multiple grid levels, with each level further subdivided into grid cells. Each grid cell is assigned a unique identifier derived from an encoding scheme that utilizes a set of unique symbols. The unique identifier for each grid cell is generated based on the consistent positional layout of symbols within the grid. The method includes storing alias data for certain grid cells in a database, receiving input specifying a geographic location, determining the corresponding grid cell within the hierarchical grid, and generating an encoded representation of the location by mathematically deriving the associated unique identifier. This encoded representation is then outputted by the computing device, providing an intuitive and systematic method for geolocation that emphasizes user familiarity with the grid's structure.

This invention relates to the field of water station transportation technology, and more particularly to an intelligent water distribution method, comprising: a delivery task acquisition unit for acquiring delivery tasks from a water station management platform, cleaning and parsing delivery addresses, and converting them into user coordinates using GIS geocoding; a delivery level determination unit for determining the delivery level and delivery time limit based on task type, delivery timeliness, task volume, and user service level; a delivery process control unit for accessing real-time road conditions, weather, and traffic control information to dynamically replan delivery routes; and a delivery effect verification unit for verifying delivery timeliness, completion status, and user satisfaction, and optimizing scheduling algorithms and route strategies based on the verification results. The route algorithm of this invention is optimal, significantly reducing delivery mileage, fuel consumption, and labor costs.

This invention relates to a method and system for monitoring the energy efficiency of electric vehicle charging stations based on dynamic interaction and visual enhancement, belonging to the field of geographic information systems and industrial data visualization technology. It addresses the problems of existing technologies, such as lack of interactivity, limited visual representation, overlapping coordinates, and fixed data dimensions. The technical solution includes data acquisition and preprocessing, comprehensive energy efficiency assessment, geocoding and coordinate correction, interactive control and parameter management, and a dynamic visualization rendering module. It uses a hash offset algorithm to prevent coordinate overlap, employs a game theory-based weighted model to calculate energy efficiency scores, and supports dual-mode switching between a standard positioning view and a radial highlight view. This invention improves interactive usability, enhances visual perception, balances micro-level positioning with macro-level situational awareness, and supports dynamic decision support.

A 6 GHz Wi-Fi device must obtain operability information to operate at a location. Providing a user with an operability indicator for a 6 GHz Wi-Fi device at a location can conserve resources and enhance the quality of experience for a user. A user interface can receive a location input from a user interface, for example, a user input or pre-filled information. The location can be determined based on the location input, for example, one or more location parameters. The one or more location parameters can be previously stored or retrieved from, for example, a network resource, such as a geocoding service. The user interface can provide an operability indicator to the user interface that indicates whether the 6 GHz Wi-Fi device is operable at one or more 6 GHz frequencies and a transmit power associated with allowed or permitted one or more 6 GHz frequencies.

The invention provides a geocoding error identification method based on addresses and coordinates, which belongs to the technical field of geocoding and comprises the following steps: S1, geocoding n text addresses through a geocoding platform, and converting the n text addresses into corresponding coding coordinates under a WGS-84 coordinate system; each text address is in a standard format; s2, performing error identification on any coding coordinate to obtain an identification type of the coding coordinate; the identification types comprise a potential error type, an error-free type and an unrecognizable type; if the coding coordinate is an error-free coding coordinate, directly outputting an error value 0 of the error-free coding coordinate; and S3, calculating the error value of the coding coordinate belonging to the potential error type. According to the method, the error value of the coding coordinate output by the geocoding platform can be determined, so that the result error identification and precision evaluation work of geocoding is realized, and the accurate understanding of geocoding is improved.

The invention relates to the field of data processing, can be used in the field of financial science and technology, and provides a risk early warning method, device and equipment and a storage medium, the method comprises the following steps: obtaining coordinates of a risk area, determining a polygon and a minimum enclosing rectangle corresponding to the risk area, generating a target grid set containing a plurality of character string codes through a geocoding system, the to-be-queried user coordinate data is converted into the second character string code to be matched with the target grid set, and the user risk early warning information is generated, so that the query efficiency of querying whether the user is located in the risk area or not is improved. When the method is applied to the field of financial science and technology, the security of payment data and transaction data can be guaranteed.

This invention discloses a method and management system for real-scene 3D modeling of karst landscape scenic areas, belonging to the field of digital cultural tourism technology. The method includes the following steps: collecting oblique image data, point cloud data, and detailed texture data of the scenic area using drones, 3D laser scanners, etc.; constructing a hierarchical fusion algorithm to fuse multi-source data and generate a real-scene 3D model; generating cultural tourism thematic data using web crawling and geocoding technology; applying adaptive LOD and GPU rendering acceleration to achieve cross-terminal visualization of the real-scene 3D model; constructing a risk assessment model based on video surveillance and tourist flow data to achieve crowd density calculation, flow prediction, and risk warning; and integrating the real-scene 3D model, cultural tourism thematic data, and real-time tourist flow data to achieve full-area 3D display and management of the scenic area. This invention provides real-scene 3D modeling and intelligent management for tourism management departments and tourists, contributing to the integrated development of cultural tourism.

This invention discloses a feature fusion-based permanent scatterer (PSS) identification technique based on deep learning. First, a residual attention U-shaped network is constructed to extract spatial features from SAR images, and a C-LSTM network is constructed to extract temporal features from differential interferometric phase. Next, a feature fusion module is constructed to couple spatial and temporal features, and a prediction module is constructed to output dual-channel PSS identification results. Finally, single-channel PSS identification results are obtained by filtering through channel maximum values, and then image patch stitching and geocoding techniques are used to obtain the spatial distribution of PSS within the study area. This invention adopts a data-driven approach, enabling rapid identification of PSS through network training. The PSS identification technique provided by this invention employs a weighted summation of focal loss and residual loss to address the imbalance between positive and negative easy / negative samples and to evaluate the effectiveness of the identification results in downstream tasks. By utilizing the constructed feature fusion network and the mixed loss for PSS identification, this invention can identify a large number of PSS while maintaining a small number of residual points, making it more likely that the identification results will yield accurate surface deformation results when applied to downstream tasks.

This invention discloses a method and apparatus for generating urban DSMs using single-pass SAR for four-satellite formations, belonging to the field of radar measurement technology. The method includes: data preprocessing, performing precise registration on the complex SAR image of the four-satellite formation and removing terrain phase; homogeneous pixel extraction, determining a set of homogeneous pixels for each pixel as an adaptive multi-view window based on amplitude information; structural phase compensation, estimating and compensating for the non-stationary structural phase of strong targets; target height calculation, constructing a covariance matrix using the compensated interferogram and calculating pixel height using spectral estimation; outlier removal based on energy entropy dispersion index, filtering and removing outlier pixels; and geocoding, combining target height and orbital information to solve for latitude and longitude, generating the final DSM. This invention achieves high-precision, high-resolution urban DSM reconstruction using only a single-pass SAR data, effectively avoiding temporal decorrelation problems and significantly improving surveying efficiency and product quality.

Provided are methods, systems, devices, apparatuses, and tangible non-transitory computer readable media for navigation and geocoding. The disclosed technology can perform operations including accessing location data and semantic tags. The location data can include information associated with locations including the location of a carrier and the location of a passenger. The semantic tags can include information associated with features of the locations. The location data and the semantic tags that satisfy meeting criteria can be identified. The meeting criteria can be associated with a suitability of a location for the carrier and the passenger. A meeting location for the carrier and the passenger can be determined based on the location data and the semantic tags that satisfy the meeting criteria. Furthermore, indications associated with the meeting location can be generated based on the features of the meeting location.