20 results about "Gis database" patented technology

Systems and methods for model selection and use are described. An example system includes one or more processors, and a non-transitory memory in communication with the one or more processors, and storing instructions thereon. The instructions, when executed by the one or more processors, are configured to cause the system to receive a selection of a disaster-related policy for analysis; collect data associated with the disaster-related policy. The system is further caused to specify an estimator for computing an impact of the selected disaster-related policy and, using the collected data, select a panel data model of a plurality of panel data models to implement the estimator. The system is further caused to develop a geospatial Geographic Information System (GIS) database comprising the collected data. The system is further caused to, using the selected panel data model and the GIS database, compute the impact of the selected disaster-related policy.

The embodiment of the invention discloses a database branch management method and device based on geometric perception and a medium, and relates to the technical field of GIS databases, and the method comprises the steps: generating a branch shadow layer corresponding to each branch in a target GIS database under the triggering of a branch creation request, and monitoring branch operation information of each development user on the branch, writing the differential coordinate array corresponding to the branch operation information into a branch shadow layer; when a branch merging request is received, corresponding geometric difference characteristics are determined according to the difference coordinate array in the branch shadow layer and pre-acquired main version data, and the geometric difference characteristics comprise geometric difference coordinate similarity and a topological relation matrix; and performing conflict detection and conflict processing on the main version data and the branch data corresponding to each differential coordinate array through geometric difference characteristics to determine target data meeting preset requirements, and performing atomic release on the target data in the target GIS database.

The application relates to the technical field of unmanned aerial vehicle automation application, and discloses an unmanned aerial vehicle channel automatic inspection system based on an AI large model, which comprises a cloud scheduling platform that extracts structured task parameters of a natural language inspection instruction through a large language model and issues a three-dimensional waypoint sequence in combination with a three-dimensional GIS database. An unmanned aerial vehicle platform is equipped with a multi-light pod for taking off, and an on-board edge platform runs a target detection algorithm to process image streams and track target entities. In combination with an RTK absolute coordinate, an inertial measurement unit, a multi-light pod attitude matrix and a laser ranging value, a smooth absolute coordinate sequence of the target entity is calculated and filtered. The system extracts static ground feature data to construct a three-dimensional bounding box set, calculates and predicts a trajectory, determines a hovering observation point coordinate when the bounding box is crossed to cause occlusion, and controls the unmanned aerial vehicle to hover until the target entity passes through and visual tracking is restored. The application solves the problem of tracking interruption caused by obstacles in a complex channel, and maintains the continuity of the inspection closed loop.

The application discloses a kind of rural real estate surveying and mapping method and system based on unmanned plane, it is related to unmanned plane surveying and mapping technical field, the method is called GIS database by unmanned plane task management system to obtain boundary coordinate and space range, and automatically generates flight route to collect image data and soil data, initial boundary line is generated after image processing and is converted into vector data and right unit is formed by right line matching;Soil nutrient state evaluation is carried out by constructing soil nutrient response index Inu;When soil nutrient level reaches standard, collect soil state data, and carry out soil potential evaluation by fitting and constructing resource evolution utilization index Isu, and the evaluation result is marked as different grade right unit by GIS system, realize the visual display of land attribute and cloud sharing.This method fuses remote sensing image processing, soil spectrum analysis and ecological stability evaluation, improves the intelligent level of rural land surveying and mapping and data utilization depth.

The invention relates to the technical field of multi-source data fusion, in particular to a project management method based on multi-source monitoring data fusion, and the method improves the data fusion precision, efficiency and query speed, quantifies the reliability difference of monitoring means based on a CRITIC method, introduces an actual availability screening and time index decay model, and improves the data fusion accuracy, efficiency and query speed. Weight space-time dual dynamic optimization is realized, decision deviation is overcome, an objective basis is provided for overlapped pattern spot judgment, and fusion accuracy and credibility are improved. Weight updating is controlled through the QZGXSJ field, total data recalculation is avoided, resource consumption is reduced, the design is compatible with mainstream GIS database standards, seamless connection with an existing system is achieved, and popularization is easy. Meanwhile, global data are stored according to quarterly slices by using a time axis engine, and a project engine is evolved according to a code storage version, so that joint storage is realized, the problem of fragmented management is solved, and the query speed is increased.

The invention discloses a method for quickly searching for ownership of urban infrastructure based on big data analysis, and particularly relates to the technical field of data analysis. The method comprises the following steps: collecting GIS, a property registration database, an Internet of Things sensor, a remote sensing image and historical archive data, analyzing an unstructured text by using natural language processing and optical character recognition technologies, comparing spatial information of the GIS database and the property registration database, marking geographic space inconsistency data, and combining property unit change trend analysis to obtain a property unit change trend; according to the method, the accuracy and the response speed of the infrastructure ownership query are remarkably improved, a property unit can be quickly identified especially in an emergency repair and accident disposal scene, and the credibility evaluation capability of the ownership information is improved. The emergency repair delay caused by information lagging or wrong matching is avoided, and the urban management efficiency and the public safety guarantee capability are improved.

The invention relates to a full-increment synchronization method and system based on a change data real-time capture technology, and belongs to the field of data synchronization. Comprising the following steps of: accessing a power grid resource business platform database through a Rest interface in full-amount synchronization to obtain full-amount graphic data; further executing a synchronous conversion operation on the full-amount graphic data, and synchronizing the converted GIS graphic data into a GIS database in batches; the incremental synchronization captures transaction data from a power grid resource service platform through a preset data synchronization service, encapsulates the transaction data into a standardized data format and then pushes the transaction data to the message middleware, the message middleware obtains the transaction data in the standardized data format and inputs the transaction data into a synchronous conversion link, and after synchronous conversion operation is executed, the transaction data is transmitted to the power grid resource service platform. Synchronizing the converted transaction data to a GIS (Geographic Information System) database; according to the invention, data synchronization of the station database and the GIS database in the power grid resource service can be realized, and the problem that two sets of systems are inconsistent in graph is solved.

The application relates to the technical field of facility maintenance, and particularly discloses a concrete quality data visualization management method and system, wherein the method comprises the following steps: acquiring spatial layer information of different concrete structure members based on a GIS database; establishing a deterioration model of different concrete structure members about key quality indexes, and correlating the deterioration model with position coordinates; predicting quality data according to the deterioration model, and screening and acquiring concrete structure members that need to be maintained according to the quality data, and generating predicted deterioration state information correlated with corresponding position coordinates; generating a maintenance task list; and displaying the maintenance task list on a GIS map based on the position coordinates of the concrete structure members that need to be maintained. The method forms a closed-loop management process from data collection, state evaluation, future prediction, resource matching to task visualization, and realizes predictive maintenance and intelligent scheduling of concrete structure quality.

The invention belongs to the technical field of mineral exploration, and particularly relates to a geophysical and geochemical exploration data analysis-based fast delineation gold mine prospecting method, which comprises the following steps of: A1, collecting a geological map, a mineral map, a remote sensing image and historical exploration data, and establishing an initial GIS (Geographic Information System) database; a2, collecting a sample, sending the sample to a laboratory for multi-element analysis, and delineating a comprehensive geochemical anomaly region taking gold as a main part; a3, carrying out multi-element detection by using an X-ray fluorescence detection device, and focusing a planar anomaly to a specific earth surface element concentration center; a4, arranging ground geophysical prospecting equipment, and detecting spatial distribution, occurrence and burial depth of a low-resistance and high-polarizability body or an ore control structure related to mineralization; a5, performing spatial fusion and coupling analysis on surface element abnormity, underground geophysical prospecting abnormity and a known geological structure, establishing a comprehensive model, and screening out a drilling verification target position; and A6, designing and implementing verification drilling, and verifying the accuracy of comprehensive prediction of geophysical and geochemical exploration through accurate test of the rock core sample.

The application discloses a soft soil area land subsidence calculation method, device, equipment and medium, and the method comprises the following steps: acquiring geological survey data and urban planning data; performing space-time fusion on the geological survey data and the urban planning data to construct a GIS database; estimating building load and road load according to the GIS database; and calculating the vertical bearing capacity of different building foundation forms of different single projects by using different calculation models according to the building load and the road load, so as to calculate the land subsidence of the single project. The application can accurately predict the land subsidence in the soft soil area.

The invention discloses a rural real estate surveying and mapping method and system based on an unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicle surveying and mapping. The method comprises the steps that an unmanned aerial vehicle task management system calls a GIS database to obtain boundary coordinates and a spatial range, automatically generates a flight route and collects image data and soil data; generating an initial boundary line after image processing, converting the initial boundary line into vector data, and matching the vector data with an ownership line to form an ownership unit; performing soil nutrient state evaluation by constructing a soil nutrient response index Inu; when the soil nutrient level reaches the standard, soil state data is collected, a resource evolution utilization index Isu is constructed through fitting for soil potential evaluation, an evaluation result is marked as ownership units of different grades through a GIS system, and visual display and cloud sharing of land attributes are achieved. According to the method, remote sensing image processing, soil spectrum analysis and ecological stability evaluation are fused, and the intelligent level and the data utilization depth of rural land surveying and mapping are improved.

The invention relates to the technical field of database structures and information retrieval, in particular to a geographic information GIS database dynamic updating method and system.The method comprises the following steps that remote sensing images are obtained, boundary nodes are extracted, multi-time-sequence position difference values are calculated to form a change sequence, repeated moving nodes are removed, continuous change information is obtained, mutation boundaries are extracted according to a threshold value, and the mutation boundaries are updated. And endowing a state identifier to construct a GIS dynamic updating structure. According to the invention, a boundary structure is constructed based on node positions and time identifiers, continuous expression of boundary changes is realized, a change sequence is generated by using spatial differences, boundary dynamic identification precision is improved, interference information is reduced by eliminating repeated moving tracks, change extraction accuracy is enhanced, and a mutation identification and boundary reconstruction mechanism is introduced. The abnormal disturbance capture capability is enhanced, boundary paragraphs are mapped through state identifiers, the boundary attribute association relationship is perfected, and the expression efficiency of data updating and the system response capability are improved.

This invention belongs to the field of mineral exploration technology, specifically a rapid gold prospecting method based on geophysical and geochemical data analysis, including the following steps: A1. Collect geological maps, mineral maps, remote sensing images, and historical exploration data to establish an initial GIS database; A2. Collect samples and send them to the laboratory for multi-element analysis to delineate comprehensive geochemical anomaly zones dominated by gold; A3. Use X-ray fluorescence detection devices for multi-element detection to focus areal anomalies onto specific surface element concentration centers; A4. Deploy surface geophysical equipment to detect the spatial distribution, occurrence, and depth of low-resistivity, high-polarization bodies or ore-controlling structures related to mineralization; A5. Perform spatial fusion and coupling analysis of surface element anomalies, subsurface geophysical anomalies, and known geological structures to establish a comprehensive model and screen drilling verification targets; A6. Design and implement verification drilling, and conduct precise analysis using core samples to verify the accuracy of the comprehensive geophysical and geochemical prediction.

Described herein are systems, methods, and other techniques for performing conflation between target road polylines and source road polylines stored in GIS databases. A pairing of a target road polyline and a source road polyline is obtained. The target road polyline and the source road polyline each include a sequence of connected 2D or 3D vertices that form a continuous line. A similarity score is computed between the target road polyline and the source road polyline based on one or more similarity metrics. A conflation classification is assigned to the target road polyline, the source road polyline, or the pairing based on the similarity score.The conflation classification is one of a set of possible conflation classifications. A post-classification action is performed based on the conflation classification.

The application discloses a kind of based on the method for quickly finding city infrastructure ownership of big data analysis, specifically related to data analysis technical field;Collect GIS, property registration database, internet of things sensor, remote sensing image and historical archives data, use natural language processing and optical character recognition technology to parse unstructured text, compare the spatial information of GIS database and property registration database, mark geographic space inconsistency data, and combine property unit change trend analysis, identify property correlation instability data, train machine learning model, build infrastructure ownership prediction rule, improve the credibility evaluation ability of ownership informationThe application significantly improves the accuracy and response speed of infrastructure ownership query, especially in the scene of emergency repair and accident disposal, the property unit can be quickly identified, the repair delay caused by information lag or wrong matching is avoided, and the city management efficiency and public safety guarantee ability are improved.

The invention discloses a GIS (geographic information system) automatic drawing method and system based on a multi-modal large model, and relates to a geographic information system (GIS) automatic drawing technology. A natural language drawing request of a user is received, and semantic analysis is performed on the natural language drawing request through the multi-modal large model; calling a corresponding tool function according to a semantic analysis result; extracting original data from the GIS database, and analyzing and processing the original data to obtain a coordinate matrix and weight data; calculating a density value of each spatial position by using a Gaussian kernel function, and generating a continuous density distribution function; calculating a density value of each grid coordinate point, and remodeling a result into a two-dimensional array format corresponding to the coordinate matrix to obtain a target coordinate matrix; and generating a kernel density thermodynamic diagram based on the target coordinate matrix and the weight data, and performing visualization processing on the kernel density thermodynamic diagram. The invention aims to realize automatic analysis and mapping of geographic data through a natural language interaction and function calling mechanism.

This invention provides an automatic simplification method for drainage pipe networks with data protection capabilities, comprising: Step 1: Pipeline network data preparation: describing the drainage pipe network using an abstract network composed of nodes and pipelines, and obtaining the topological structure and related basic information of the nodes and pipelines; Step 2: Adding simplified feature fields and establishing a mechanism for the coexistence of simplified pipe network data and original pipe network data; Step 3: Entering simplified feature field values ​​into a GIS database; Step 4: Designing an automatic simplification algorithm for the drainage pipe network to complete the automatic simplification of the drainage pipe network while protecting the original data. The algorithm structure of this invention is clear, requires no user intervention during the simplification process, and can simplify to the user-specified precision. By establishing a mechanism for the coexistence of simplified and original pipe network data, the simplification of the pipe network is achieved while protecting the original data.

The application relates to a full-incremental synchronization method and system based on a change data real-time capturing technology, and belongs to the field of data synchronization. The method comprises the following steps: full-incremental synchronization accesses a power grid resource business middle station database through a Rest interface to obtain full-incremental graphic data; further, a synchronization conversion operation is performed on the full-incremental graphic data, and the converted GIS graphic data is batch-synchronized to a GIS database; incremental synchronization captures change data from the power grid resource business middle station through a preset data synchronization service, encapsulates the change data into a standardized data format, and pushes the change data to a message middleware; the message middleware acquires the change data in the standardized data format, inputs the change data into a synchronization conversion link, performs a synchronization conversion operation, and synchronizes the converted change data to the GIS database; and the application can realize data synchronization of the power grid resource business middle station database and the GIS database, and solves the problem of inconsistent graphics of the two sets of systems.

The application provides a sea-land segmentation method based on prior information. Firstly, a geometric imaging model on a satellite is constructed, and image coordinate system, satellite body coordinate system, satellite orbit coordinate system, J2000 coordinate system and WGS84 coordinate system are sequentially established. Through conversion between the coordinate systems, the image coordinates and the ground coordinates are normalized to the same reference system, and the longitude and latitude information corresponding to the image points of the remote sensing image is obtained. Then, a GIS database is constructed to store a global sea-land information binary graph, and the sea-land marks of the image points are obtained through longitude and latitude query based on the prior information, so that the land area is removed. The application further reduces the algorithm complexity while ensuring the high accuracy segmentation performance, and can be applied to on-board implementation.

The application discloses a land use-based carbon emission instant characterization and prediction method and device, which comprises the following steps: preprocessing geographic data to obtain raster data and vector data, finely processing the raster data, establishing a land use GIS database and an expansion driving force factor data set; establishing an energy consumption data set and an economic and social development data set by using annual data; performing carbon accounting according to the energy consumption data set and the land use GIS database, and establishing a first model for representing and predicting the regression relationship between land use and carbon emission; determining various economic and social development indexes of a preset development scenario, and predicting land use demand; obtaining an expansion possibility atlas set of each land use type by using a random forest algorithm and a LEAS model; simulating future land use by using a PLUS model, and calculating the carbon emission of the simulation result by using the first model. Through the above method, the instant characterization and prediction of carbon emission and the fine processing of built-up area land can be realized.