13 results about "Geoweb" patented technology

This invention discloses a method for earthquake landslide hazard zoning based on subtractive clustering ANFIS, belonging to the field of earthquake landslide hazard zoning technology. The method includes the following steps: collecting earthquake landslide monitoring data including seismic data, topographic data, meteorological and hydrological data, and image data; extracting features from the image data to obtain feature-extracted data; based on the earthquake landslide monitoring data, using a subtractive clustering algorithm to determine the initial cluster centers of the earthquake landslide area, thereby obtaining initial clustering information for the earthquake landslide; and combining the earthquake landslide hazard levels and their monitoring data within each geographic grid unit to draw an earthquake landslide hazard zoning map. The data acquisition technology, subtractive clustering algorithm application technology, ANFIS model construction technology, and data calibration technology in this method are closely integrated with modern information technology. The hazard calibration coefficient is used to calibrate the hazard index, improving the accuracy of earthquake landslide hazard assessment.

Disclosed here are methods, systems, and apparatuses for optimizing in-building network coverage through aggregation of usage data, network data, and other performance metrics and geospatial analysis employed to map network coverage data onto a geographic grid, facilitating spatial visualization of performance. The network coverage data is mapped to the buildings data to create a spatial visualization. A model is then applied to the network coverage data and the spatial visualization to identify buildings with a network coverage score below a threshold, and an appropriate action is performed based on the identification.

This application relates to the field of data analysis technology, and in particular to a method, apparatus, computer device, storage medium, and computer program product for extracting profile lines from oblique photogrammetry data. The method includes: dividing the oblique photogrammetry data into multiple block files according to a geographic grid, with each block file containing a root node corresponding to a specific block file, and hierarchically storing node files corresponding to child nodes derived from the root node; identifying target block files and target node files that intersect with the projection line data; reading specific geometric data from the target node files, with the geometric data associated with profile line extraction; using a preset intersection algorithm to traverse the geometric data in all target node files to obtain profile points, and connecting the profile points to generate target profile lines. This method can improve the efficiency of profile line extraction in large-scale oblique photogrammetry data and reduce the computational load of profile line extraction.

This invention discloses an automated fusion method and system for suspended sediment concentration from multi-source ocean color satellites, belonging to the field of marine remote sensing and geographic information processing technology. The method includes: S1, automatically identifying and reading the original satellite data file; S2, processing the quality labeling data to generate a comprehensive quality mask in one go, and marking invalid values ​​for the concentration data; S3, resampling all valid pixels onto a predefined regular geographic grid, calculating the cumulative concentration and pixel count of each grid cell to obtain the grid mean; S4, stacking multiple grid data from the same region and time window along the time axis, and performing spatiotemporal fusion using the median robust averaging method or the minimum value synthesis method; S5, automatically generating a standard raster file and a thematic map containing geographic features and embellishment information based on the fused data. This invention solves the problems of fragmented processing, low efficiency, and insufficient accuracy in existing technologies.

This invention discloses a method, system, device, and medium for integrating multi-source heterogeneous electric carbon data, relating to the field of energy data processing technology. The specific steps are as follows: extracting key identification information and original measurement values ​​from the original messages and preprocessing them to generate semantic tags and a geographic grid index; performing carbon emission calculations and fusing the geographic grid index to construct a standardized electric carbon data frame; constructing a topological correlation map, calling a graph neural network to calculate theoretical state prediction values, generating corrected electric carbon data, generating digital fingerprints for the corrected electric carbon data and verifying the data, and generating data blocks to store in an electric carbon data lake. This invention eliminates temporal deviations in heterogeneous data by constructing semantic and spatiotemporal indexes, utilizes graph neural networks to achieve intelligent identification and automatic completion of abnormal data, and combines a blockchain notarization mechanism to ensure data immutability and full-process traceability.

This invention provides a data spatial query method, apparatus, electronic device, and computer-readable storage medium. The data spatial query method provided by this invention includes: acquiring target business data; constructing a spatial field based on the latitude and longitude data of the target business data; importing the spatial field into a preset index; acquiring the latitude and longitude data of two diagonal vertices within a visualized map area; determining a data query range based on the latitude and longitude data of the two diagonal vertices; acquiring a geographic grid based on the data query range and the shrinkage ratio of the visualized map; and aggregating and statistically analyzing the target business data within the geographic grid area based on the spatial field to obtain query results. The data spatial query method provided by this invention can aggregate points on a large number of maps and respond promptly to the aggregation.

This invention discloses a method, system, and device for presenting tree information and educational content, applied to a WeChat mini-program. The method includes: setting a root node for each tree species containing immutable basic taxonomic features, and assigning dynamic sub-nodes defined by three dimensions: region, phenological period, and growth environment; collecting user-submitted native tree observation data, extracting tree morphological feature vectors, LBS geographic grid data, user-supplemented fields, and collection identifiers; when user observation data in the same scenario reaches a preset quantity and similarity threshold, updating the average feature value and deviation range to the feature library of the corresponding dynamic sub-node; obtaining user LBS location and seasonal context data, calling the dynamic sub-nodes to obtain scenario-based feature deviation thresholds and dynamically adjusting matching weights, completing secondary precise matching, and outputting search results; and dynamically generating digital twin archives containing phenological change timelines and ideological and political growth values ​​based on empirically verified user observation data belonging to trees.

This invention relates to the field of big data analysis and discloses an AI recommendation method for skin whitening based on multi-source heterogeneous data fusion. The method includes: acquiring the user's intrinsic parameter sequence and the extrinsic parameter sequence of the geographic grid environment; acquiring the multidimensional spectral feature tensor of the target body part to construct a high-dimensional heterogeneous feature space; calculating individual parameter deviations by comparing historical group physiological data; performing integral calculations on high-frequency environmental parameters to generate an environmental stress cumulative integral; determining the active ingredient tolerance threshold based on the individual parameter deviation and the environmental stress cumulative integral; and then scheduling the target component distribution weight vector through a nonlinear penalty function. This invention solves the problem of mismatch between the recommendation scheme and the dynamic environmental carrying capacity by constructing a spatiotemporal environmental stress interference mechanism and an individual tolerance shift self-correction logic, thereby achieving dynamic constraints on the dose-effect boundary of active ingredients and avoiding the risk of tolerance collapse induced by drastic environmental changes.

This invention provides a fine-scale population spatialization method that integrates geospatial and internet data. The method includes: obtaining residential building footprint data within the study area; constructing geographic grid data for the study area and determining the proportion of residential building footprint area in each geographic grid unit; obtaining the number of floors in internet-connected buildings within the study area, establishing a residential building floor estimation model, and determining the initial input values ​​for the residential building floor estimation model; calculating the estimated population for each administrative region, performing error verification with the corresponding administrative region's population statistics, iterating based on the error verification results, and optimizing and adjusting the parameters of the residential building floor estimation model. This invention constructs a population spatialization model by integrating land use (residential land), surface-covered building areas, and the number of floors in internet-connected buildings, classifying the population living in urban and rural areas to estimate the floor height of residential buildings, achieving fine-scale population spatialization with high accuracy.

This invention discloses a method and system for analyzing and processing meteorological observation big data based on a distributed architecture, belonging to the field of big data processing technology. The method includes the following steps: acquiring meteorological sampling data from meteorological sensors; when the gradient of change in the meteorological sampling data exceeds a change threshold, adding a physical disturbance identifier to the meteorological reporting message; spatially encoding multiple meteorological reporting messages to map them to corresponding geographic grids, and aggregating meteorological reporting messages within the same geographic grid within a sliding time window; if the proportion of meteorological reporting messages carrying physical disturbance identifiers within the same geographic grid exceeds a consensus threshold, generating a regional disturbance state for the geographic grid; and pausing spatial interpolation processing within the same geographic grid based on the regional disturbance state. This invention enables prediction models to output early warnings based on data that better reflects actual physical conditions.

This application discloses a data analysis method, apparatus, device, storage medium, and computer program product to address the problem that existing data analysis methods cannot accurately match and quantitatively correlate discrete noise events with continuous, macroeconomic economic indicators within a unified spatiotemporal framework. This makes it difficult to scientifically reveal the intrinsic relationship between the two at the data level, thus failing to provide direct decision support for precise intervention in urban governance. The method includes: spatially aligning collected economic data according to a preset geographic grid to determine the economic data corresponding to each geographic grid; acquiring noise data corresponding to each geographic grid; determining the association topology between the geographic grids based on the noise data; generating an association matrix based on the temporal changes of the economic data corresponding to each geographic grid and the association topology; and generating a management strategy for each geographic grid based on the association matrix.

The present application belongs to the technical field of data privacy protection, and particularly relates to a vehicle trajectory data desensitization method and system based on differential privacy, comprising the following steps: obtaining a single vehicle trajectory, mapping the single vehicle trajectory to a geographic grid, determining a passing grid unit and at least one stay grid unit, and extracting a stay coordinate set corresponding to the stay grid unit; determining the centroid coordinates of the stay coordinate set, respectively calculating the spatial scatter feature and the time offset feature of the stay coordinate set based on the centroid coordinates, combining the obtained historical access feature to generate a multi-dimensional stay feature; and determining the stay grid unit based on the multi-dimensional stay feature to obtain a sensitive class label. The present application accurately distinguishes real sensitive stays from passing areas, solves the privacy budget mismatch problem caused by equal noise addition, and realizes the perfect combination of strict protection of high-sensitive data and availability of macro trajectory analysis.

The present application relates to the technical field of intelligent route selection, and particularly relates to a dense constraint environment railway line scheme group progressive optimization method, medium and equipment, comprising: constructing a multi-constraint fusion geographic grid model that fuses the spatial constraints and auxiliary data of a research area; generating an initial line search graph network including a vertex set and an edge set based on the multi-constraint fusion geographic grid model; based on the initial line search graph network and an active edge set, taking spatial conflict as the driving force, performing progressive network optimization to obtain a final candidate line graph network; based on the final candidate line graph network, using a breadth-first search method to search for candidate paths, and sorting the candidate paths according to cost indicators to output the first N candidate paths as an optimized scheme group. The present application effectively solves the problems that the existing method is difficult to systematically evaluate conflicts, exhaust feasible solutions and easily cause repeated rework of schemes in a constraint coupling scenario.