12 results about "Reverse geocoding" patented technology

The invention relates to a geocoding calculation method and device based on big data, and the method comprises the steps: carrying out the structural conversation of an address through a simplified classification system (11 types of core elements), optimizing an address analysis process, carrying out the forward prediction through a geocoding technology, completing the reverse verification through a reverse geocoding technology, and improving the reliability of an analysis result; carrying out clustering analysis on address coordinates by utilizing an aggregation algorithm, and enhancing the capturing capability of spatial distribution characteristics; abnormal data which does not conform to geographical boundary conditions are eliminated through address fence filtering, and the data quality is improved; a modular device is constructed and comprises an address structuring module, a forward and reverse address matching module, an aggregation grouping module, an address fence filtering module and a screening module, and full-process automatic processing is achieved. The method not only improves the precision and efficiency, but also reduces the system complexity, provides a feasible technical path for the acquisition of high-reliability and high-precision spatial data, and has a wide application prospect.

The present method includes obtaining a satellite image of a geographical area, identifying by means of a trained neural network a polygon of a permanent building or structure on the satellite image of the geographical area, determining the position of the centroid of the identified polygon and a pair of geographic coordinates corresponding to the centroid, sending a request containing the pair of geographic coordinates of the centroid to a reverse geocoding server, receiving from the reverse geocoding server a response containing the address of the permanent building or structure, saving the received address of the permanent building or structure together with the pair of geographic coordinates in a unified address set for the permanent building or structure, accessing the official register of addresses to find the registered address corresponding individually to each address in the unified address set, and adding the found registered address to the unified address set. A unified address set for which there is no registered address or more than one registered address in the official register of addresses is sent to a verification server to determine a single registered address. The technical result consists in more accurate identification of permanent buildings or structures.

This invention discloses an intelligent emergency call method and system, applicable to any user group in an emergency situation, including the elderly, women living alone, and patients with chronic diseases. It can run on various smart terminals such as smartphones, smartwatches, and smart bracelets. After a user triggers the call with one click, the system uses a multi-round cyclic dialing strategy to dial multiple emergency contacts sequentially, with subsequent rounds only dialing those who did not answer. Accurate answer determination is achieved by obtaining the actual call duration (zero indicates no answer). Simultaneously, it automatically integrates the GPS reverse geocoding address with the user's health record into a structured emergency call notification message and sends it. The entire process includes voice guidance, and all interactive nodes employ a countdown default continuation mechanism to ensure the process is not interrupted due to user inability to operate. This invention solves the three major defects of existing technologies: slow response, frequent misjudgments, and incomplete information. The entire process is triggered with one click and executed automatically.

The invention belongs to the technical field of image processing, and particularly relates to an intelligent defect detection method and device for a photovoltaic module and a computer readable storage medium. The method comprises the steps that a thermal imaging image and a visible light image of a photovoltaic module are collected through an unmanned aerial vehicle, and distortion correction and preprocessing are carried out; carrying out defect detection by adopting an improved YOLOv8 model, wherein the improvement comprises hyper-parameter adjustment, Anchor Box self-definition and multi-scale training; performing cross-modal feature matching on the thermal imaging and the visible light image, and realizing accurate positioning of the fault component in combination with reverse geocoding; and according to the photovoltaic string generating capacity data and the defect detection result, determining whether to replace the assembly. The problems of low detection precision, large positioning error and high operation and maintenance cost in the prior art are solved.

The present application relates to a method, apparatus, computer device, and storage medium for recommending points of interest based on point of interest profiles. The method comprises: responding to a reverse geocoding request containing reverse geocoding request coordinates sent by a user terminal, obtaining a plurality of associated points of interest based on the reverse geocoding request coordinates; generating a feature scalar for each associated point of interest based on the reverse geocoding request coordinates and the plurality of associated points of interest; inputting the feature scalar for each associated point of interest into a point of interest recommendation model trained based on point of interest profiles, obtaining recommended points of interest output by the point of interest recommendation model; and sending the recommended points of interest to the user terminal. Embodiments of the present application can improve the accuracy of point of interest recommendations.

The embodiment of the invention provides a multilingual address generation method, an address generation model training method, an address-based risk control method, an order address auditing method, electronic equipment, a storage medium and a computer program product. The method comprises the following steps: calling a preset agent based on a preset cue word, and triggering the preset agent to generate longitude and latitude data in batches; taking the latitude and longitude data and a target language as input parameters, calling a preset reverse geocoding service, and obtaining a coding result, the coding result comprising an address of the latitude and longitude data corresponding to the target language; and filtering the addresses based on the addresses and / or the confidence coefficients of the addresses to obtain a set of the addresses of the target language. The multilingual address generation method effectively improves the quality of the generated multilingual address.

The application provides a reverse geocoding method, device and electronic equipment. The method comprises: obtaining a target latitude and longitude coordinate; obtaining target space index data corresponding to the target latitude and longitude coordinate in preset space index data, wherein the preset space index data comprises space indexes of geographical description contours in hierarchical grids, the hierarchical grids comprise a plurality of space grids, and each space grid corresponds to the space index of a geographical feature contour in the geographical description contours; determining target geographical feature contour information corresponding to the target latitude and longitude coordinate according to the target space index data; and performing attribution detection on the target latitude and longitude coordinate according to the target geographical feature contour information to obtain reverse geocoding information of the target latitude and longitude coordinate, wherein the reverse geocoding information comprises address description information used for describing the contained relationship between the target latitude and longitude coordinate and a point of interest (POI). The embodiment of the application can improve the accuracy of obtaining position information through reverse geocoding.

A system is provided.SOLUTION: Means for uploading an image by a user, means for extracting location information from Exif information of the uploaded image by a terminal, means for transmitting the location information extracted by the terminal to a server, means for acquiring address information by a reverse geocoder using the location information by the server, means for searching for landscape data related to an area based on the address information acquired by the server, means for generating an image generation AI model that learns the landscape data of the area by the server, means for generating an area-specific image by the server using the learned model, and means for transmitting the image generated by the server to the terminal. The system where the terminal includes means for displaying the transmitted image to the user.SELECTED DRAWING: Figure 1

Described herein is a framework for identifying one or more points-of-interest that are geographically proximal to a geographical location of the mobile device. Geographical location information of a mobile device is transformed from a first format to a second format by performing a Mercator projection of the geographical location information in the first format. Using a point-of-interest search memory structure, one or more points-of-interest are identified that are geographically proximal to a geographical location of the mobile device, wherein the point-of-interest search memory structure includes location information for a plurality of points-of-interest. Information indicative of the one or more points-of-interest are transmitted to an analytical server to enable the analytical server to perform analysis related to the mobile device.

This invention relates to the field of supply chain demand forecasting technology. Specifically, it relates to a supply chain demand forecasting method and system based on multi-source heterogeneous data fusion. The aim is to address the problem in community group-buying scenarios where sudden surges in localized orders easily generate noise, leading to distortion after the fusion of these surges with multi-source data, affecting the accuracy of demand forecasting and hindering automatic replenishment decisions in the supply chain. The method involves real-time collection of community group-buying order locations and sales volumes, using reverse geocoding to unify the format; after identifying surges in orders, density clustering is used to calculate the coverage radius and classify the data, matching noise intensity coefficients and hysteresis correction amounts, and combining a negative exponential function to generate a dynamic attenuation coefficient, thus doubly correcting surges in sales volume; the corrected data is then fused with e-commerce transaction and store inventory data, standardized, and input into a recurrent neural network model to output regional demand forecasts for the next seven days, triggering automatic replenishment decisions and improving forecast accuracy and supply chain responsiveness.

The present application relates to the technical field of intelligent decision-making, and can be applied to a business system platform such as financial technology and medical health, and discloses a multi-modal-based address input method, device, equipment and medium, comprising: when the multi-source address input instruction is a map interaction instruction, performing reverse geocoding on coordinate data of a map interaction operation to obtain first address data; when the multi-source address input instruction is a geographic location search instruction, performing geocoding on a search keyword to obtain second address data; when the multi-source address input instruction is a text paste instruction, performing address field processing on original text data to obtain third address data; performing address structuring processing on the first address data, the second address data and the third address data respectively to generate a structured address field; and returning the structured address field to a host page and filling the structured address field into an address form of the host page. The accuracy of address input is improved.

The application discloses a kind of place name retrieval service method, system based on OSM file, storage medium and electronic equipment, comprising: data preprocessing step, OSM data is imported into PostgreSQL / PostGIS database, and the place table containing geographic coordinates is generated;Word segmentation and address calculation step, the place name is word segmented using ICU and the mixed word segmenter of jieba, generates retrieval place table and calculates importance;Search cache table construction step, pre-computes and establishes search table, area positioning table and road positioning table;Address search step, the user query text is word segmented, and candidate place is quickly matched and complete address hierarchy is constructed by cache table, and it is returned based on name matching degree, address matching degree and importance score sorting;Reverse geocoding step, according to coordinate, find the place nearest or containing the coordinate and return address description.The application significantly improves query efficiency and accuracy by structured processing of OSM data, constructing efficient index and pre-computing cache, and combining targeted word segmentation strategy.