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31 results about "Geographical distance" patented technology
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Geographical distance is the distance measured along the surface of the earth. The formulae in this article calculate distances between points which are defined by geographical coordinates in terms of latitude and longitude. This distance is an element in solving the second (inverse) geodetic problem.
Short-term wind speed prediction method for multiple offshore wind power plants
ActiveCN121602355AGeneration forecast in ac networkData processing applicationsGeographical distanceAtmospheric sciences
The invention discloses a short-term wind speed prediction method for multiple offshore wind power plants, relates to the technical field of power system intellectualization, and constructs a dynamic graph structure fusing the correlation between geographic distance and wind speed according to the correlation between the geographic position of a target area and the wind speed, namely a multi-wind-plant connected graph, and represents the spatial topological relation of a wind power plant group. A wind power plant group is mapped into a node network by constructing a dynamic graph structure fusing geographic distance and wind speed correlation, spatial dependence intensity between nodes is quantized by using a weighted adjacent matrix, spectral domain convolution operation is carried out by a graph convolution network based on a normalized Laplacian matrix, and the spatial dependence intensity between nodes is quantized by using a normalized Laplacian matrix. Efficient neighborhood feature aggregation is achieved through Chebyshev polynomial approximation, complex spatial association caused by geographic position difference and meteorological condition interaction can be accurately captured, the defect of non-Euclidean spatial relationship modeling in a traditional method is overcome, and the representation capacity of the spatial dependency relationship in the multi-wind-power-plant environment is remarkably improved.
Owner:自然资源部天津海洋中心(自然资源部天津海洋预报台)
Wind power prediction method based on multi-objective optimization
ActiveCN121886374AGeneration forecast in ac networkSingle network parallel feeding arrangementsData acquisitionGeographical distance
The invention belongs to the technical field of artificial intelligence, and particularly relates to a wind power prediction method based on multi-objective optimization, and the method comprises the steps: wind power data collection and training data set construction, adaptive sliding window and dynamic fluctuation decomposition of wind power time series data, construction of a short-term power prediction model, and short-term power prediction. According to the method, the historical window length and the decomposition scale can be autonomously adjusted according to the inherent fluctuation characteristics of the data, and multi-scale accurate characterization of the non-stationary power sequence is realized; according to the method, a dynamic space-time diagram fusing geographic distance and instantaneous power correlation is constructed, and a diagram attention network combined with trend similarity gating is designed, so that dynamic refined modeling of a space incidence relation is realized; according to fluctuation intensity self-adaptive loss function dynamic balance point prediction precision and interval prediction reliability, synchronously outputting deterministic and probabilistic prediction results; the rated power limit and the ramp rate constraint are embedded into the model in a soft mode, and it is ensured that the prediction result conforms to the actual operation rule of the wind turbine generator.
Owner:CHANGCHUN INST OF TECH
Distributed photovoltaic ultra-short-term solar irradiance prediction method based on multi-scale spatial-temporal feature fusion
The invention discloses a distributed photovoltaic ultra-short-term solar irradiance prediction method based on multi-scale spatial-temporal feature fusion, and the method comprises the steps: constructing a multi-source spatial adjacency matrix through fusing a geographic distance adjacency matrix, a historical correlation matrix and a dynamic adjacency matrix generated by a graph self-attention network; therefore, the inter-site spatial dependency relationship is dynamically captured. Meanwhile, multi-scale time features are extracted in combination with a convolutional long-short-term memory network, dynamic weighted integration of spatial-temporal features is finally realized through a gating fusion unit, and high-precision prediction of future ultra-short-term irradiance is completed. A verification result on a certain eight distributed photovoltaic station data set shows that the model is remarkably superior to a traditional neural network model under different weather conditions, and particularly, the model shows higher adaptability and prediction precision in sudden change weather and an irradiance peak value interval; and reliable technical support can be provided for distributed photovoltaic power station power prediction and power grid dispatching.
Owner:ZHEJIANG UNIV +1
Coastal wind turbine group generation power multi-scale space-time prediction method
The invention discloses a coastal wind turbine group generation power multi-scale space-time prediction method, which mainly comprises the following steps: carrying out space interpolation and error correction on a target wind turbine position by adopting a numerical weather forecast statistical downscaling technology, generating a high-resolution wind speed prediction sequence covering a short term and a long term, aligning and splicing the predicted wind speed, the field actually-measured wind speed, the environment and the unit operation variables into node dynamic input characteristics; the method comprises the following steps: encoding longitude and latitude and time sequence monitoring data of N fans of a coastal fan group into graph nodes, determining an edge weight according to geographic distance and wake flow coupling, and forming a fan graph network containing static and dynamic characteristics; and inputting the static and dynamic feature sequences into a graph neural network comprising a space attention layer, a time recursion layer and a physical constraint regular term, completing model training, and outputting the generated power of each fan in a plurality of time steps in the future and the total power predicted value of the fan group. The method can provide powerful support for wind power plant operation scheduling, power grid-connected management and new energy consumption.
Owner:UNIV OF CHINESE ACAD OF SCI
Urban population OD flow prediction method and related equipment
The invention relates to the technical field of crowd flow prediction, discloses a crowd OD flow prediction method and related equipment, and effectively overcomes the defects in fine-grained city internal OD flow prediction in the prior art by constructing an urban crowd flow prediction model fusing multi-dimensional key factors. Spatial correlation among geographic units is captured by means of a spatial adjacency encoder, regional function complementarity and geographic distance characteristics are mined through a land utilization complementation encoder, traffic reachability information is integrated by means of a traffic connection encoder, and a characteristic pattern cooperatively output by a multi-dimensional encoder provides comprehensive support for prediction. According to the design, the comprehensive influence of spatial positions, land utilization and traffic conditions on urban travel is fully considered, the defects that a traditional model ignores spatial dependence and an existing machine learning and deep learning model is insufficient in multi-factor integration are overcome, and the prediction accuracy and the fitting degree are remarkably improved.
Owner:SHAANXI NORMAL UNIV
Distributed charging pile group dynamic load balancing and power optimization allocation system and method
The present application relates to electric vehicle charging scheduling technical field, especially to distributed charging pile group dynamic load balancing and power optimization allocation system and method, including: cloud coordinator obtains the space correlation data between piles containing geographical distance and traffic similarity and fuses with historical and weather data, inputs into the spatiotemporal graph neural network prediction model, outputs probability distribution prediction value and prediction confidence interval and issues, edge control node constructs multi-objective optimization model based on prediction uncertainty, generates dynamic allocation table and backup scheme under capacity constraint to minimize charging time and maximize renewable energy consumption as the target, issues allocation table to execute power allocation and obtains actual power feedback, when the actual power exceeds the confidence interval range, switch backup scheme to preferentially reduce flexibility load. The present application effectively improves the deficiency that single-point prediction lacks defense, realizes reliable global dynamic load balancing under the premise of guaranteeing the safe operation of power grid transformer.
Owner:STATE GRID HENAN ELECTRIC POWER COMPANY ANYANG POWER SUPPLY +2
Global data-free area visibility forecasting method considering geographical distance
The invention discloses a global no-data area visibility forecasting method considering geographical distance, and relates to the technical field of visibility forecasting, and the global no-data area visibility forecasting method considering geographical distance mainly comprises the steps: carrying out the preprocessing of meteorological grid data and visibility monitoring data, and obtaining a forecasting data set; the constructed artificial intelligence model comprises an encoder and a decoder; and training and evaluating the artificial intelligence model by using the forecast data set to obtain a basic artificial intelligence model, and predicting the visibility of the global data-free area to obtain a prediction result. By implementing the global data-free area visibility forecasting method considering the geographic distance, the seasonal forecasting accuracy of the visibility of the global station-free area can be improved.
Owner:LANZHOU UNIV
Training apparatus, training method, data matching apparatus, data matching method, and storage medium
PCT designated stageWO2026048594A1Machine learningNeural learning methodsData matchingPositive sample
A training apparatus performs: acquiring an anchor sample, a positive sample, and a plurality of negative samples, extracting first hard-negative samples from the plurality of the first negative samples, selecting, as a selected first negative sample, one of the first hard-negative samples based on a geographical distance between the place represented by the anchor sample and the place represented by each of the first hard-negative samples; and updating a first feature extracting model and a second feature extracting model based on the feature value of the anchor sample, a feature value of the first positive sample, and a feature value of the selected first negative sample. The feature value of the data of the first type and the feature value of the data of the second type is used to determine whether the data of the first type matches the data of the second type.
Owner:NEC CORP
Image stitching method and device based on linear array camera, equipment and storage medium
ActiveCN116362965BImage analysisInternal combustion piston enginesPattern recognitionComputer graphics (images)
This invention discloses an image stitching method, apparatus, device, and storage medium based on a line scan camera. The method includes: obtaining the starting and ending geographic coordinates corresponding to an initial image sequence, and determining the geographic distance corresponding to the initial image sequence; stitching together first-type images in the initial image sequence to obtain a second-type image corresponding to the initial image sequence; obtaining the image length of the second-type image, and adjusting the second-type image according to the geographic distance and the image length to obtain a target image corresponding to the initial image sequence. This invention determines the geographic distance corresponding to the initial image sequence based on the starting and ending geographic coordinates in the initial image sequence, and adjusts the second-type image obtained by stitching together each first-type image in the initial image sequence according to the geographic distance, so that images of the same resolution represent the same length information, thereby enabling the stitching of images of the same resolution.
Owner:成都圭目机器人有限公司
A wind power prediction method based on multi-objective optimization
ActiveCN121886374BGeneration forecast in ac networkSingle network parallel feeding arrangementsData setAlgorithm
The application belongs to the technical field of artificial intelligence, and particularly relates to a wind power prediction method based on multi-objective optimization, which comprises wind power data acquisition and training data set construction, adaptive sliding window and dynamic fluctuation decomposition of wind power time series data, short-term power prediction model construction and short-term power prediction. The method can autonomously adjust the historical window length and decomposition scale according to the inherent fluctuation characteristics of the data, realize the multi-scale accurate representation of the non-stationary power sequence, construct a dynamic space-time graph by fusing the geographical distance and the correlation of instantaneous power, design a graph attention network combined with the trend similarity gate, realize the dynamic fine modeling of the spatial correlation, dynamically balance the prediction accuracy and interval prediction reliability through the fluctuation intensity adaptive loss function, synchronously output the deterministic and probabilistic prediction results, and embed the rated power limit and the climbing rate constraint in the model in a soft manner, so that the prediction results conform to the actual operation law of the wind turbine.
Owner:CHANGCHUN INST OF TECH
A graph convolutional neural network water level prediction method based on geographical optimal similarity
This invention discloses a graph convolutional neural network (GCN) method for water level prediction based on geographic optimal similarity. The method includes: acquiring hydrological monitoring data from multiple stations and related explanatory variables, and preprocessing the data; calculating the geographic optimal similarity (GOS) between stations based on the historical statistical characteristics of the explanatory variables of each station, and constructing a dynamic adjacency matrix reflecting nonlinear hydrological associations; using this adjacency matrix as the graph structure of a graph convolutional neural network (GCN) to construct a GOS-GCN model for water level prediction; training and testing the GOS-GCN model using real hydrological data, and evaluating the prediction results. This invention effectively solves the limitations of relying solely on geographic distance for mapping, and significantly improves the prediction accuracy and robustness of the model under complex spatiotemporal conditions.
Owner:JIANGXI ACAD OF ECO-ENVIRONMENTAL SCI & PLANNING +1
A short-term wind speed prediction method for offshore multi-wind farm
ActiveCN121602355BGeneration forecast in ac networkData processing applicationsElectric power systemPredictive methods
The application discloses a kind of short-term wind speed prediction methods for offshore multi-wind farm, it is related to electric power system intelligentization technical field, according to the geographical location of target area and wind speed correlation, construct the dynamic graph structure of fusion geographical distance and wind speed correlation, i.e. The application maps the wind farm group into a node network by constructing the dynamic graph structure of fusion geographical distance and wind speed correlation, quantifies the spatial dependence intensity between nodes using a weighted adjacency matrix, performs spectral domain convolution operation based on a normalized Laplacian matrix using a graph convolution network, and realizes efficient neighborhood feature aggregation through Chebyshev polynomial approximation. This can accurately capture complex spatial correlations caused by geographical location differences and meteorological condition interactions, overcome the shortcomings of traditional methods in modeling non-Euclidean spatial relationships, and significantly improve the representation ability of spatial dependence relationships in a multi-wind farm environment.
Owner:自然资源部天津海洋中心(自然资源部天津海洋预报台)
A method and system for spatiotemporal prediction of charging station load based on multi-source matrix fusion
PendingCN122088760AImprove adaptabilityHigh precisionForecastingBiological modelsAdaptive learningLoad forecasting
This invention discloses a method and system for spatiotemporal prediction of charging station load based on multi-source matrix fusion. The method includes: collecting historical load data and geographical coordinates of charging stations, performing standardization and sample partitioning; constructing in parallel a prior adjacency matrix based on geographical distance, a temporal similarity adjacency matrix based on dynamic time warping distance, and a dynamic adaptive adjacency matrix based on learnable node embedding; adaptively weighting and fusing the three matrices through trainable scalar parameters to generate a fused adjacency matrix; and constructing and utilizing a spatiotemporal graph convolutional network for load prediction based on the fused adjacency matrix as the spatial relationship basis. This invention comprehensively improves the accuracy and reliability of spatiotemporal prediction of charging station group load by fusing complementary spatial relationships from multiple sources, enhancing the robustness of temporal similarity measurement through dynamic time warping, and combining data-driven adaptive learning.
Owner:INFORMATION & COMM CO OF STATE GRID SHAANXI ELECTRIC POWER CO LTD
A method, apparatus, device, medium and product for matching geographical sites
PendingCN122309575ASave basic consumptionReduce the number of sitesGeographic siteGeographical distance
This disclosure provides a method, apparatus, device, medium, and product for matching geographic sites. The method involves dividing the geographic site based on its location information to obtain a grid index; determining a candidate grid range around the site to be matched based on the grid index; the candidate grid range includes candidate matching sites corresponding to the site to be matched; determining the geographic location difference between each candidate matching site and the site to be matched, and determining candidate matching sites that meet geographic distance conditions based on the geographic location difference to obtain a target matching site; determining the spherical distance between the target matching site and the site to be matched to obtain a target geographic distance; and identifying the target matching site corresponding to the target geographic distance that is less than a preset spherical distance threshold as a successfully matched site of the site to be matched.
Owner:CHINA MOBILE GRP FUJIAN CO LTD +1
Fire point positioning method, device and medium based on thermal imaging camera
ActiveCN121564666Baccurate conversionimprove accuracyVisual data miningStructured data browsingTerrainGeographical distance
The application provides a fire point positioning method based on a thermal imaging camera, comprising: establishing an elevation data model with the camera position as the center, for querying the latitude and longitude coordinates and the elevation value according to the geographic distance and the angle; collecting a plurality of sets of data pairs of pixel coordinates and actual geographic distances under different angles; establishing a set of mapping functions from pixel coordinates to geographic distances based on the set of data pairs; for a detected fire point, the corresponding mapping function is selected to calculate the geographic distance from the fire point to the camera according to the pixel coordinates and the angle of the camera relative to the reference direction; and based on the elevation data model, the latitude and longitude coordinates and the elevation value of the fire point are queried using the geographic distance and the angle. Through the combination of the elevation data model and the set of mapping functions, the application realizes the rapid and accurate conversion of the fire point from the pixel coordinates to the geographic coordinates, effectively improves the positioning accuracy and efficiency, and provides reliable technical support for fire monitoring in complex terrains.
Owner:HANGZHOU GAODE DIGITAL TECHNOLOGY CO LTD
Internet protocol (IP) cross-region detection method and system based on network flow
The invention discloses an IP cross-region detection method and system based on network traffic. The method comprises the following steps: constructing a geographically associated fusion network traffic feature set; the fusion network traffic feature set comprises a plurality of sample pairs containing'traffic feature pair-geographic distance-classification label '; the traffic feature pairs in the sample pairs have the same IP but different time windows; training a traffic encoder by using the sample pair to realize that a traffic embedding space output by the traffic encoder is consistent with a physical geographic space; extracting the traffic characteristics of the current data stream of the target client, and inputting the traffic characteristics into the traffic encoder to obtain the current traffic embedding space of the target client; and according to the current traffic embedding space of the target client and the historical latest traffic embedding space of the target client, judging whether the target client is subjected to cross-regional migration or not. According to the method, the accuracy, the efficiency and the robustness of an IP cross-region detection technology are improved.
Owner:INSTITUTE OF INFORMATION ENGINEERING CHINESE ACADEMY OF SCIENCES
Method and management system for dynamic supply chain optimization of products throughout their life cycle based on cbam
The present application relates to the technical field of supply chain management, in particular to a product whole life cycle dynamic supply chain optimization method and management system based on CBAM, which comprises the following steps: obtaining materials and numbers required for export, establishing correlation between raw materials and transportation links, collecting production carbon release details, screening compliance paths to form operation lists, judging position coincidence degree to generate resource path atlas, and outputting supply chain scheduling scheme according to time consumption and span sorting. The present application quantifies the geographical distance and transportation mode in the raw material path, establishes the mapping between transportation and carbon source, identifies the carbon release path in combination with the equipment operation section sequence, eliminates non-compliant paths according to the target market restrictions, associates the screening results with the spatial position of the carrying node, constructs the connection combination according to the position coincidence degree, optimizes the path through time consumption and span sorting, and realizes the collaborative optimization of path screening and operation scheduling.
Owner:SHANGHAI CUSTOMS MECHANICAL & ELECTRICAL PROD TESTING TECH CENT
Agrometeorological early warning method based on regional microclimate data interpolation and correction
The invention relates to the field of agricultural meteorology early warning methods, in particular to an agricultural meteorology early warning method based on regional microclimate data interpolation and correction. An adversarial network model is constructed by introducing a topographic physical constraint loss function and an uncertainty quantization mechanism to generate a high-resolution, physically credible and static meteorological background field, so that the generated meteorological background field is ensured to be rich in space details and strictly follow basic physical rules such as a temperature vertical declining rate and the like; and meanwhile, the uncertainty of each lattice point can be self-evaluated and is used as prior information of a Bayesian layering dynamic correction model, a spatial covariance function fusing a geographic distance and a terrain distance is constructed in the Bayesian layering model, and the purpose that the spatial covariance function of the geographic distance and the terrain distance is fused in a complex terrain area with sparse meteorological stations is achieved. And meanwhile, a meteorological analysis field with high spatial resolution and high timeliness is obtained, so that the early warning accuracy and timeliness of sudden agricultural meteorological disasters in local areas such as frost, dry and hot air and the like are remarkably improved.
Owner:KARAMAY QISEHUA E COMMERCE CO LTD +1
Geographic sales allocation system for estimating the source of pharmaceutical sales
This invention provides a correspondence relationship extraction system that automatically extracts rationally linked medical institutions by calculating the geographical distance between pharmacies / drugstores and medical institutions using their latitude and longitude information, and setting appropriate distance thresholds based on the patient's travel range according to whether the institution is in an urban or rural area, as well as a method for estimating sales by medical institution on a recording medium. [Solution] The information processing system 100 normalizes the address information of pharmacies and medical institutions 110, obtains latitude and longitude using a geographic information API or the like 120, extracts medical institutions within a predetermined distance from the pharmacy 150, calculates a score inversely proportional to the distance to the extracted medical institutions 160, and allocates the pharmacy sales to each medical institution according to the score ratio 170. Furthermore, by outputting the allocation results and linking them with an analysis support platform, a probability model, and a sales support visualization tool 180, it provides an information infrastructure that contributes to understanding prescription practices, sales evaluation, and the advancement of marketing measures.
Owner:TCROSS INC
Method and device for recommending next interest point based on large language model
ActiveCN121412471ADigital data information retrievalInference methodsDiversity indexLinguistic model
The invention provides a recommendation method and device for a next interest point based on a large language model. The method comprises the steps that interest point information, user long-term preference information and user recent track information are obtained; obtaining a candidate sequence according to the user long-term preference information and the user recent trajectory information; determining geographical distance information according to the interest point information; determining a category diversity index according to the user long-term preference information and the user recent trajectory information; determining a track length index according to the recent track information of the user; according to the track length index and the category diversity index, weights corresponding to the user long-term preference information, the user recent track information and the geographic distance information are determined respectively; and inputting the geographic distance information, the user long-term preference information, the user recent trajectory information, the weights of the three information and the candidate sequence into a preset large language model to obtain a recommendation result of the next interest point. According to the method, the problems existing when a big language model executes a recommendation method can be solved.
Owner:CHINESE ACAD OF SURVEYING & MAPPING
Mobile terminal-based pavement disease intelligent collection and classification identification method
The application discloses a mobile terminal-based intelligent collection and classification identification method for road surface diseases, and particularly relates to the technical field of intelligent identification of road surface diseases. Through joint driving of a camera device and a positioning module, the method realizes synchronous collection of continuous image frames and track data, constructs a dynamic pairing relationship between the image frames and track points in combination with a sliding time window and a minimum time difference principle, introduces a timestamp misalignment alignment abnormality coefficient, simultaneously constructs a geographic mapping error accumulation coefficient, fuses the two types of coefficients to construct a disease space-time superposition risk assessment model, and outputs a disease space-time superposition risk assessment index, thereby realizing spatial redundancy risk measurement of the identified diseases, dynamically completing intelligent marking of superposition risk points, and accurately identifying repeated disease points through geographic distance determination and image feature vector similarity calculation based on a redundancy point fusion mechanism based on spatial consistency and image feature similarity, and dynamically updating the track positions of the repeated disease points by using a weighted fusion strategy.
Owner:BEIJING MUNICIPAL BRIDGE MAINTENANCE MANAGEMENT +1
Unicast power control method, apparatus, device, storage medium and program product
ActiveCN120201532BPower managementParticular environment based servicesInterference (communication)Geographical distance
The application provides a unicast power control method, device, equipment, storage medium and program product, relates to the technical field of communication, and comprises the following steps: obtaining target SINR corresponding to QoS and measurement information fed back by a second device, the measurement information comprising: a first RSRP and a first SINR; in the case that it is determined according to the measurement information that non-strong interference occurs between a first device and the second device, adjusting the sending power of the first device according to at least two of the first RSRP, the target SINR, the first SINR and a first geographic distance; the first geographic distance is the distance between the first device and the second device; or in the case that it is determined according to the measurement information that strong interference occurs between the first device and the second device, adjusting the sending power of the first device or triggering resource reselection according to the first SINR and / or the target SINR. In this way, power control can be timely and accurately performed in the presence of interference.
Owner:HONGXING ZHIXIN TECHNOLOGY (NANJING) CO LTD
Method and apparatus for recommending next point of interest based on large language model
ActiveCN121412471BDigital data information retrievalInference methodsDiversity indexLinguistic model
The application provides a next point of interest recommendation method and device based on a large language model, the method comprising: obtaining point of interest information, user long-term preference information and user recent trajectory information; obtaining a candidate sequence according to the user long-term preference information and the user recent trajectory information; determining geographical distance information according to the point of interest information; determining a category diversity index according to the user long-term preference information and the user recent trajectory information; determining a trajectory length index according to the user recent trajectory information; determining weights corresponding to the user long-term preference information, the user recent trajectory information and the geographical distance information respectively according to the trajectory length index and the category diversity index; inputting the geographical distance information, the user long-term preference information, the user recent trajectory information, the weights of the three, and the candidate sequence into a preset large language model to obtain a next point of interest recommendation result. The application can solve the problems existing when the large language model executes the recommendation method.
Owner:CHINESE ACAD OF SURVEYING & MAPPING
Entity relationship prediction, knowledge graph construction method and device, equipment and medium
ActiveCN116028635BSemantic analysisSpecial data processing applicationsSemantic representationGeographical distance
The present disclosure relates to an entity relationship prediction, a knowledge graph construction method, device, equipment and medium. According to the first text description information of the first geospatial entity and the second text description information of the second geospatial entity, the semantic representation of each text description information in the context is generated. According to the first geospatial information of the first geospatial entity and the second geospatial information of the second geospatial entity, the representation vector of the geographical distance between the first geospatial entity and the second geospatial entity is calculated. According to the representation vector of the geographical distance and the semantic representation of each text description information in the context, the semantic representation of the context aware of the geographical distance is obtained. Further, according to the semantic representation of the context aware of the geographical distance and the representation vector of the geographical distance, the geographical spatial relationship between the first geospatial entity and the second geospatial entity can be more comprehensively and accurately predicted.
Owner:ALIBABA (CHINA) CO LTD +1
Fire point positioning method and equipment based on thermal imaging camera and medium
The invention provides a fire point positioning method based on a thermal imaging camera, and the method comprises the steps: building an elevation data model with a camera position as a circle center, and querying latitude and longitude coordinates and an elevation value according to a geographic distance and angle; acquiring a data pair set of pixel coordinates and actual geographic distances at multiple angles; establishing a mapping function set from the pixel coordinates to the geographic distance based on the data pair set; for the detected fire point, selecting a corresponding mapping function to calculate the geographic distance from the fire point to the camera according to the pixel coordinate of the fire point and the angle of the camera relative to the reference direction; and querying latitude and longitude coordinates and elevation values of the fire points by using the geographic distance and angle based on an elevation data model. Through combination of the elevation data model and the mapping function set, rapid and accurate conversion of the fire point from the pixel coordinate to the geographic coordinate is realized, the positioning accuracy and efficiency are effectively improved, and reliable technical support is provided for fire monitoring in complex terrains.
Owner:HANGZHOU GAODE DIGITAL TECHNOLOGY CO LTD
Information display method and device, equipment, storage medium and product
PendingCN121919420AWebsite content managementExecution for user interfacesMap LocationComputer graphics (images)
Owner:BEIJING ZITIAO NETWORK TECH CO LTD
Double-layer asynchronous DAG consensus method and system for cooperative vehicle infrastructure network
PendingCN121751117AParticular environment based servicesVehicle infrastructure communicationGeographical distanceEngineering
The invention relates to the technical field of vehicle-infrastructure cooperative networks, in particular to a double-layer asynchronous DAG consensus method and system for a vehicle-infrastructure cooperative network. The method comprises the steps that a double-layer heterogeneous DAG coupling architecture is adopted, the consensus process is decoupled into a lower-layer local streaming DAG and an upper-layer backbone reference DAG in space, and the dynamic space-time fragmentation, the consensus judgment based on the geographic distance weight and the vertical anchoring mechanism are adopted, so that the dynamic space-time fragmentation and the consensus judgment based on the geographic distance weight are obtained. And rapid weak consistency confirmation of local high-frequency data and final strong consistency solidification of a global state are realized. According to the method, the network communication overhead is effectively reduced, the consensus convergence speed is improved, the real-time decision-making requirement and the global data consistency requirement under the vehicle-road cooperation scene are considered, and the method is suitable for millisecond response scenes such as vehicle obstacle avoidance and formation driving.
Owner:LINGSHU TECH CO LTD
Regional medium-and-long-term wind power generation probability prediction method
PendingCN121840585AGeneration forecast in ac networkForecastingPredictive methodsGeographical distance
The invention discloses a regional medium-and-long-term wind power generation probability prediction method, which comprises the following specific steps: step 1, acquiring medium-and-long-term weather prediction data in a target region, and acquiring week-by-week weather field data from the future 4-26 weeks from a global climate prediction system; and 2, constructing a regional wind power plant group spatial topology network, and constructing a weighted spatial adjacency matrix based on geographic coordinates and installed capacities of all wind power plants in a target region. According to the regional medium-and-long-term wind power generation capacity probability prediction method, large-scale meteorological field data output by a global climate prediction system is fused, and an empirical orthogonal function dominant mode is extracted as a medium-and-long-term driving factor, so that the time scale limitation that a traditional method is limited to short-term weather forecast is broken through; effective tracking of wind resource evolution trends from several weeks to several months in the future is realized, and a weighted spatial topology network based on geographic distance and installed capacity is constructed.
Owner:HUANENG BAOTOU WIND POWER GENERATION CO LTD +2
Ship trajectory clustering method fusing multi-dimensional features
The invention discloses a ship trajectory clustering method fusing multi-dimensional features. The method comprises the following steps: acquiring a ship trajectory; calculating multi-dimensional similarity features between any two ship trajectories, wherein the multi-dimensional similarity features comprise geographic distance similarity, direction similarity and cumulative common subsequence similarity; based on the multi-dimensional similarity features, different clustering parameter combinations are set to cluster ship trajectories by using a DBSCAN clustering algorithm; determining clustering result evaluation criteria including intra-class standards and the number of noise trajectories; the intra-class standard approximates the standard deviation of the tracks in the cluster based on the comprehensive similarity between the ship tracks, and the comprehensive similarity is comprehensively determined by the geographical distance similarity, the direction similarity and the cumulative common subsequence similarity; based on different clustering parameter combinations and corresponding clustering result evaluation criteria, determining an optimal clustering parameter combination by using a VIKOR multi-criterion optimization method; and completing ship trajectory clustering based on the optimal clustering parameter combination. According to the invention, the ship trajectory clustering accuracy is improved.
Owner:WUHAN UNIV OF TECH
Asset management techniques
PCT designated stageWO2026072834A1Cathode-ray tube indicatorsResourcesGeolocationGeographical distance
An asset management system (10) includes a sensor (32) that detects asset tags to acquire asset geolocation codes (54) of a plurality of assets (24) in a geographic area (22). The asset management system (10) also includes a controller (16) communicatively coupled to an image sensor (32) that receives the asset geolocation codes (54) of the plurality of assets (24), receives the image data, generates a model (40) of the geographic area (22) using locations associated with the asset geolocation codes (54) and the image data to place the plurality of assets (24) in the model (40), and determines a geographic distance between a first asset and a second asset of the plurality of assets (24) using the model (40).
Owner:UNIVERSAL CITY STUDIOS LLC