180 results about "Geographic site" patented technology

The invention relates to an improved NSGA-III-based multi-target geographic site selection optimization method and system, belongs to the technical field of optimization in business management and resource planning, and particularly relates to resource allocation and site selection decision making by using a calculation model. The technology aims to solve the problems of slow scheme convergence, non-uniform solution set distribution and low calculation efficiency when multi-target site selection is carried out under limited resources. According to the scheme, geographic space data is preprocessed, and an initial population representing different site selection schemes is generated; carrying out optimization iteration by adopting an improved NSGA-III algorithm, and calculating a plurality of objective functions such as coverage rate, normalized population density and medical service accessibility; and performing individual selection and population updating by utilizing improved reference point generation and vertical distance measurement. The method is mainly used for improving the efficiency and effect of commercial and municipal decisions such as urban planning, medical resource configuration, energy station layout and logistics network optimization.

The invention relates to the technical field of electronic commerce, in particular to a personalized analysis method for cultural and creative products based on collaborative filtering, which comprises the following steps: acquiring browsing, collection and purchase behavior data of a user, calculating interval change of adjacent behaviors, and adjusting behavior influence based on browsing frequency, collection density and purchase conversion. And calculating a behavior contribution proportion in combination with the collection frequency and the stay duration, and extracting a short-term behavior trend to obtain a user behavior change trend parameter. According to the method, the behavior change rate and the time interval are combined for screening, the recommended content can quickly adapt to user interest changes, the recommendation matching degree is improved through utilization of social interaction data, social recommendation is more targeted, the scene applicability of the recommended content is enhanced through consideration of environmental factors such as geographic positions and weather, and the user experience is improved. The dynamic calculation of the multi-dimensional weight optimizes the recommendation sequence, and improves the long-term effectiveness and user experience of the recommendation system.

Described herein are techniques and mechanisms for geographic routing. A database system may store data records corresponding with user accounts and including historical routing information characterizing geographic routes determined in association with the user accounts. A communication interface may receive a request from a remote computing device authenticated to a user account and identifying an initial geographic location and a terminal geographic location. A geographic routing engine may determine a route including turn-by-turn instructions for moving from the initial geographic location to the terminal geographic location. A generative language model interface may complete a navigation prompt to include novel text identifying supplemental route information. A user interface generation interface may transmit an instruction to the remote computing device to present a user interface that includes the turn-by-turn instructions and some or all of the supplemental route information.

An online system receives a request to access an interactive geographical map of sources from a client device associated with a user. The system retrieves data describing a geographical location associated with the user. The system identifies one or more sources within a threshold distance of the location and retrieves data including information describing items available at each source. For each source, the system accesses and applies a machine-learning model to predict a user engagement score indicating a likelihood of one or more interactions by the user with a set of items available at the source if the source is included in the map. Based on the score for each source, the system selects a set of sources and generates the map, in which the map indicates the geographical location of each selected source. The map is then sent to the client device, causing the device to display the map.

Systems and methods are provided to select a set of candidate listings having geographic locations within a geographical area, fit a bound for a maps viewport to the set of candidate listings, generate a maximum score for the set of candidate listings based on a booking probability for each listing, a distance of the listing location from a center of the bound for the maps viewport, and visibility based on other listings. The systems and methods further optimize the listings shown in the maps viewport by removing and replacing farthest listings up to a predefined number of listings to be removed and computing a cumulative booking score for each set of listings to compare to the maximum score. The systems and methods cause display in a maps viewport in a user interface of a computing device of a set of listings that has a maximum score.

The invention provides a data compliance migration method which comprises the following steps: acquiring data protection regulation change information through a regulation monitoring module, extracting key terms and geographic position parameters, and generating a compliance parameter set; triggering data classification identification according to the regulation change information, analyzing content features and sensitive levels of stored data, and determining risk classification of data blocks; distributing the data blocks to different transmission queues according to the risk classification, and generating a data migration task list; dynamically scheduling a data migration time window and a transmission quantity according to the risk classification and the optimal migration path; starting a parallel data transmission process, and executing a data migration operation; carrying out integrity check on the transmission data through a check algorithm, and confirming a transmission state; and the monitoring module is used for detecting service response time in the migration process and adjusting the migration progress and the switching opportunity.

In some embodiments, a method for training a machine learning device includes: ascertaining geographic location information of at least one portion of a first image associated with a label; associating with the label a second image including at least a portion having substantially the same geographic location information as the at least one portion of the first image; optional alignment or coregistration of the first and second image to maximize mutual information overlap; forming a training dataset comprising the first and second images as input images and the label that the first and second images are associated with as outputs; optional binary categorization and curation of the resulting training dataset to ensure accuracy; and training the machine learning model using the augmented dataset.

The invention discloses an output optimization method, system and device under complementary scheduling and a medium. The method comprises the following steps: acquiring data of cascade hydropower, a wind field and a photoelectric field; a graph neural network is constructed based on the geographic position data, the weight of an edge is configured according to historical power generation data, and nodes of the graph neural network represent fans, photovoltaic arrays and hydropower stations at different geographic positions; carrying out meteorological prediction according to the current short-term meteorological data based on the constructed graph neural network; and constructing an evaluation model based on the double-layer Monte Carlo-conditional risk, outputting a probability density function of output prediction according to the evaluation model, and executing output optimization. According to the method, the propagation condition of possible meteorological elements in the non-uniform observation network is captured by establishing the graph neural network; and comprehensive evaluation of water, wind and light is realized by constructing an evaluation model, and a reference direction of short-term complementary output optimization is given through a probability density function, so that the scheduling effect of complementary optimization is improved.

The invention discloses a social relation chain value evaluation method and system based on multi-dimensional data modeling, and the method comprises the steps: integrating a social platform API, a user behavior log, geographic position data and equipment information through a data collection module, carrying out the cleaning and standardization of a preprocessing module, dividing a geographic region through a space-time modeling module based on K-means clustering, and carrying out the calculation of the value of a social relation chain. An exponential decay function is introduced to dynamically update an interaction weight, an emotion analysis module adopts a BERT model to carry out emotion classification on comments, a role classification module marks community roles through a rule engine, and finally a value calculation module fuses feature parameters of data of all dimensions to construct a propagation value evaluation model. According to the method and the system, the propagation value evaluation accuracy is remarkably improved, the misjudgment rate is greatly reduced, the social e-commerce propagator screening efficiency, the local life service precise popularization coverage rate and the brand propagation positive word-of-mouth recognition accuracy are improved, and scientific decision support is provided for social fission marketing.

The invention discloses a dynamic distributed scanning method and system based on an IPv6 geographic tag, and relates to the technical field of the Internet, and the method comprises the steps: carrying out the region division of an IPv6 seed address through combining with geographic information, obtaining the IPv6 seed addresses of a plurality of geographic regions, constructing an address space tree of each geographic region, determining the change dimension of the address space tree, and carrying out the calculation of the change dimension of the address space tree; generating candidate sub-modes based on the change dimension, and selecting a sub-mode from the candidate sub-modes; generating an address according to the sub-mode, and further obtaining a target address; performing comprehensive evaluation on each sub-mode region based on the seed address density and the network development condition to obtain an initial score, and scanning a target address in each sub-mode region according to the initial score; in the scanning process, the initial score is updated by adopting a score updating mechanism, and scanning is continued based on the updated score. Geographic positions and mechanisms based on IPv6 seed addresses are fused, so that the number of real active addresses is hit to the maximum extent under a limited scanning budget, and the detection efficiency is improved.

The invention discloses an intelligent two-dimensional code inspection method, an intelligent two-dimensional code inspection device and intelligent two-dimensional code inspection equipment for a survey mark, and a computer readable storage medium. The method comprises the following steps: generating two-dimensional code image data based on acquired benchmark information; wherein the benchmark information comprises a serial number, a roll call, a type, a grade, a geographic position, a supervision unit, a maintenance unit and a supervision telephone; scanning a two-dimensional code mark arranged on the top surface of the corresponding benchmark protection disc through a mobile terminal to obtain two-dimensional code image data; wherein the two-dimensional code mark corresponds to the two-dimensional code image data; obtaining the benchmark information according to the two-dimensional code image data, and displaying the benchmark information based on a page format; acquiring input inspection data through the mobile terminal; and performing inspection early warning processing based on the inspection data. The inspection efficiency of the survey mark is improved, and the labor cost is reduced.

The invention provides a meter reading path planning method and system based on multi-target constraint, and relates to the technical field of meter reading path planning, and the method comprises the steps: obtaining a to-be-read meter task set, and extracting historical state data of a geographic position and an associated metering device as feature data; predicting the predicted operation duration of each meter reading task according to the feature data; performing spatial clustering division on the task set to be subjected to meter reading through an improved watershed algorithm to form a plurality of task clusters; taking minimization of the total driving distance and the total prediction operation duration as optimization targets, performing initial path planning, and generating an initial operation sequence of each task cluster; and executing the initial job sequence, calculating the deviation between the actual job duration and the predicted job duration, and re-performing path planning on the meter reading tasks which are not executed subsequently to generate an updated job sequence. The technical problems of task allocation imbalance, path static solidification and poor multi-target collaboration in meter reading path planning in the prior art are solved.

The invention discloses a remote sensing image retrieval method and device, electronic equipment and a medium. The method comprises the steps that a remote sensing image retrieval request is acquired; analyzing the retrieval request through the target large model to obtain an initial retrieval condition; according to the initial retrieval condition and a pre-constructed interest point database, determining a target geo-fence retrieved by the current image; and based on the initial retrieval condition and the target geo-fence, performing retrieval in a remote sensing image database to obtain a target remote sensing image. Therefore, retrieval request analysis of complex geographic description and fuzzy text description is realized through the target large model, so that the remote sensing image retrieval intention of a user is accurately understood, and meanwhile, an accurate target geographic fence is obtained in combination with the pre-constructed interest point database, remote sensing retrieval is locked in a more accurate geographic position range, and the remote sensing retrieval accuracy is improved. Therefore, the retrieval precision of the target remote sensing image is improved.

The invention provides an enterprise intelligent early warning method based on an artificial intelligence model, and the method comprises the steps: extracting the spatial-temporal trajectory features of a target product in combination with a circulation data set, recognizing a circulation time interval, carrying out the mapping of geographic position information and the time interval through a geographic information system, and generating a spatial-temporal feature matrix of product circulation; grading the abnormal product circulation by combining the abnormal geographic position deviation value, the dispersion index corresponding to the dispersion degree, the product batch scale, the arrival time and the network site scale; according to different levels of abnormal risks, sending an early warning signal to a management platform, and determining early warning triggering time and an object; according to the early warning signal triggering condition, generating an abnormal intervention adjustment scheme, monitoring a product circulation track, and obtaining track change data after intervention; and updating the spatial-temporal characteristic matrix according to the trajectory change data, and re-inputting the data into the deviation detection and dispersion degree analysis process through a cyclic feedback mechanism to obtain a new anomaly recognition result.

Techniques for generating a prompt for a language model to determine an action responsive to a user input, are described. In some embodiments, the system receives a user input, determines one or more application programming interfaces (APIs) configured to perform actions that are relevant to the user input and exemplars representing examples of using the APIs with respect to user inputs similar to the current user input. The system further determines device states of devices that are determined to be related to the user input and also determines other contextual information (e.g., weather information, time of day, geographic location, etc.). The system generates a prompt including the user input, the APIs, the exemplars, the device states, and the other contextual information. A language model processes the prompt to determine an action responsive to the user input and the system causes performance of the action.

The invention relates to the technical field of geographic information processing, in particular to a field proof file information encryption tamper-proof method of a land change investigation technology, which comprises the following steps: using authorization authentication, and initializing a camera; acquiring attitude information of the equipment when the investigator takes a picture, and calculating a direction angle of the picture by combining with geographic position information of the equipment; the positioning map is integrated into the shot picture, and watermarking is carried out on the shot picture; writing the required geographic metadata into an image file of a shot picture, and encoding and packaging according to a standard format; according to the method, the technical requirements of all links are packaged into the SDK, it is guaranteed that the proof file meets the requirements, it is guaranteed that the data of the proof file is encrypted and safely transmitted, operation is convenient and fast, quality is controllable, and the method is easy to implement and popularize. And the land change investigation business field work proof efficiency is improved by more than 40%.

This application discloses a method, apparatus, electronic device, and medium for retrieving remote sensing images. The method includes: acquiring a retrieval request for remote sensing images; parsing the retrieval request using a target big data model to obtain initial retrieval conditions; determining the target geofence for the current image retrieval based on the initial retrieval conditions and a pre-constructed point-of-interest (POI) database; and performing a search in the remote sensing image database based on the initial retrieval conditions and the target geofence to obtain the target remote sensing image. Thus, by using a target big data model, retrieval requests with complex geographical descriptions and ambiguous textual descriptions can be parsed, thereby accurately understanding the user's remote sensing image retrieval intent. Simultaneously, by combining this with a pre-constructed POI database, a precise target geofence can be obtained, locking the remote sensing retrieval within a more accurate geographical location range, thereby improving the retrieval accuracy of the target remote sensing image.

The application discloses a kind of based on multi-source data fusion's catering intelligent decision-making method and system, it belongs to site selection decision-making technical field, by using big language model to carry out knowledge extraction to multi-source data, and to this construction catering site selection knowledge graph, based on knowledge graph automatically calculates geographic position index, traffic accessibility index, consumption potential index and the objective weight of competitive environment index, simultaneously using big language model to the qualitative description of the region to be selected is retrieved to obtain membership vector, according to objective weight and membership vector calculation comprehensive suitability degree score, the recommended site selection region is obtained by ordering comprehensive suitability degree score, it quantifies index weight by catering site selection knowledge graph, avoids subjective dependence on expert experience, quantifies index using big language model, significantly improves the accuracy and efficiency of catering site selection, adapts to large-scale multi-source heterogeneous data scene, and in the face of dynamic factors can respond to update in time, convenient for application and promotion.

The invention provides a multi-mode sensing inspection method based on terminal equipment. The multi-mode sensing inspection method comprises the following steps: collecting video data, audio data, geographic position data and IMU (Inertial Measurement Unit) data; video frames are extracted based on language trigger thinning, pose trigger thinning and visual trigger thinning; and finally, identifying hidden dangers based on the extracted video frames. According to the method, significant thinning processing of the video frames is realized through various kinds of perception information, the input load of the large model is greatly reduced on the premise that key semantic information is not missed, the problems of frame input limitation and low analysis efficiency of the multi-mode large model in analysis of the long-time industrial inspection video are solved, and the method is suitable for large-scale industrial inspection. Therefore, the efficiency and accuracy of large model analysis are improved. And the frame extraction process does not depend on a fixed frame rate, but is based on semantic driving of human behaviors and equipment states, so that the extracted key frame is more effective.

The invention relates to a signature processing method based on intelligent character recognition, which comprises the following steps: acquiring the page height of a file, and converting the file into a reference coordinate system according to the page height; automatically identifying key fields in the file; determining an initial signature area corresponding to the key field through an edge detection algorithm; through a template matching algorithm or a preset model, searching a region matched with the template in the file or determining a region output by the model, and determining a signature position; fusing the initial signature area with the signature position, and determining a target signature position; acquiring a timestamp, a geographic position and equipment information for performing signature operation at the target signature position; inputting the timestamp, the geographic position and the equipment information into a preset behavior model to obtain an abnormal behavior probability; and according to the abnormal behavior probability, determining whether to give an abnormal alarm.

The invention discloses a similar event judgment method and device based on geographic position information conversion and a medium, belongs to the technical field of computer software, and aims to solve the technical problem of how to realize flexible and accurate similar event judgment and meet the requirements of different service scenes. According to the technical scheme, one or more judgment modes of geographic position conversion coordinate comparison, geographic position coordinate direct comparison, keyword comparison and completely equal comparison are selected, weight scores are configured for the selected judgment modes respectively, and the weight scores are used for indicating the importance degree of different judgment modes in final similar event judgment; and comprehensively analyzing the selected judgment mode, judging whether the events are similar events or not through weighted scores according to the configured geographical location distance and threshold value, feeding back the judgment result of the similar events to a user, and carrying out batch operation on the events by the user according to the feedback result, and checking the details of the events in detail for further processing.

A travel system generates and provides content recommendations to a user of the travel system. The travel system identifies content categories that are likely to be of interest to the user of the travel system based on context characteristics of the user such as whether the user is a traveler or a local at a particular geographic location. Additionally, the travel system further identifies content objects (e.g., attractions, activities, events, restaurants, businesses, and the like) for each identified content category that are likely to be of interest to the user based on characteristics of each content object. The identified content categories and content objects are provided as content recommendations for display to a user of the travel system, enabling a user to quickly navigate between content categories and content objects within each content category.

The invention provides a tourist number statistical method and device, electronic equipment and a storage medium, and belongs to the technical field of computers. According to the method, the number of the tourists in the first scenic area can be preliminarily counted by determining the number of the devices, located in the first scenic area, of the devices used by the active users of the at least one high-daily live application program, and the applicability of the tourist number counting method can be improved by taking internet data as a source. Considering that intelligent equipment is not comprehensively popularized and active users may exist in workers in a first scenic region, the number of tourists subjected to preliminary statistics is corrected based on a first coefficient used for representing the equipment popularization rate of the first scenic region and a second coefficient used for representing the number of the workers in the first scenic region; the tourist number of the first scenic area can be more accurately counted, and the accuracy of the tourist number counting method is improved.

The invention discloses a rapid neighbor search method and device, equipment, a medium and a program product, and belongs to the technical field of data processing.The method comprises the steps that a geographic position set and an initial grid angle side length are obtained and rasterized, and a grid set is obtained; determining the number of geographic position points in the initial nine-rectangle grid of the target position, and calibrating the initial grid angle side length according to the numerical relationship between the number of the geographic position points and a preset threshold value to obtain an updated grid angle side length; rasterizing again to obtain updated grid coding information and an updated grid set; and obtaining the updated Sudoku and determining the distance between all the geographic position points and the target position to obtain a fast neighbor search result. According to the method and the device, the situation of missing detection of grid edge points is avoided by adopting Sudoku grid traversal, and the distance calculation amount and the algorithm complexity are greatly reduced, the operation efficiency is improved, and the use experience of a user is effectively improved by adaptively adjusting the grid side length and selecting a more appropriate grid size.

The present disclosure relates to the technical fields of intelligent mines, driverless driving technologies, and maps. Disclosed are an agent interaction scenario construction method and apparatus, and a behavior prediction model training method and apparatus. The agent interaction scenario construction method comprises: acquiring sensor data of a plurality of agents and map data of geographic locations corresponding to the sensor data; for the sensor data of each agent, performing trajectory detection on the detected other agents represented by the sensor data of the agent to obtain a first trajectory; determining a second trajectory of the agent on the basis of the sensor data; on the basis of a scenario data admission condition corresponding to a preset scenario, screening the first trajectory and / or the second trajectory to obtain a target trajectory; and merging the map data and the target trajectory to obtain merged scenario data. The present disclosure can improve the efficiency and accuracy of constructing agent interaction scenarios.

The invention belongs to the technical field of computer vision, and particularly relates to a street scene ground object real-time semantic segmentation and geographic positioning method and system based on a camera, and the method comprises the steps: S1, carrying out the image collection and preprocessing; s2, performing semantic segmentation; s3, panoramic monocular depth estimation and scale recovery are carried out; s4, target detection and pixel extraction are carried out; step S5, resolving a space coordinate; and S6, performing Kalman filtering fusion based on a time sequence, and outputting a final convergence coordinate of a filter as a final geographic position of the ground feature. Different from a vehicle positioning technology which depends on a prior high-precision map for matching, the method provided by the invention has the advantages that a panoramic depth estimation and space coordinate resolving algorithm is utilized, the three-dimensional space position of a ground object can be directly deduced reversely from two-dimensional image pixels under the condition of no prior map data, and the WGS84 absolute geographic coordinate of the ground object is calculated in real time in combination with GNSS / IMU data.

Embodiments of the present application provide a map query method and an electronic device, the method comprising: receiving, by the electronic device, a first query request; displaying a first interface, the first interface comprising a first search result, the first search result comprising at least one geographic location related to the first query request within a map range indicated by a first map region; displaying a second interface, the second interface comprising a first history record, the first history record being associated with the first query request; receiving a second query request based on the first history record; and displaying a third interface, the third interface being the same as the first interface. With the embodiments of the present application, the search result obtained in previous queries can be reproduced when querying based on the history record, the user operation is reduced, and the search result is more accurate.

The application discloses a geographic position information search method, system, device and storage medium, and relates to the field of data search, and comprises the following steps: a request receiving module is used for determining a target search keyword based on receiving a search request based on a geographic position service, and performing a hot spot judgment operation according to the target search keyword to obtain a hot spot judgment result; a hot spot cache retrieval module is used for directly determining a first search result from geographic position cache data when the hot spot judgment result shows that the search request is a hot spot request and corresponding geographic position cache data exists locally; a hot spot cache module is used for determining a second search result by using a preset distributed search engine and recording to the geographic position cache data when the search request is a hot spot request and corresponding geographic position cache data does not exist locally; and a non-hot spot retrieval module is used for determining a third search result by using the preset distributed search engine when the search request is not a hot spot request. The application can effectively improve the stability of a search service.

The invention provides a service management system and method. The system comprises a service registration processing module, a load balancing module and a service instance library, the service registration processing module is used for receiving a service discovery request sent by a service consumer; matching a corresponding service instance list from the service instance library based on the service discovery request, and feeding back the service instance list to the service consumer; the load balancing module is used for acquiring real-time load data, historical performance data and geographical location information of each service instance when a service calling request sent by the service consumer through the service registration processing module is acquired; for each service instance, calculating a corresponding service instance weight based on the real-time load data, the historical performance data and the geographical location information; and distributing the service calling request of the service consumer to the corresponding service instance according to each service instance weight. The overall performance and resource utilization rate of the system are improved.

The invention provides an electronic map display method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring view field information in an electronic map application, and determining a target geographic position based on the view field information; acquiring a real-time environment image collected at the target geographic position, and determining real-time meteorological information corresponding to the target geographic position based on the real-time environment image and the weather forecast data; determining meteorological display elements according to the real-time meteorological information and the real-time environment image; and determining a plurality of base map elements based on the field-of-view information, and rendering and displaying an electronic map interface corresponding to the field-of-view information according to the meteorological display element and the plurality of base map elements. According to the embodiment of the invention, the accuracy of displaying the weather information in the electronic map can be improved.