32 results about "Gis database" patented technology

The invention relates to the field of urban drainage, and discloses an urban drainage pipe network operation safety assessment method and system, and the method comprises the steps: obtaining pipe network operation state data and pipe network physical structure data, and constructing a drainage pipe network GIS database; acquiring a pipeline defect detection image based on CCTV television detection and QV video detection technologies, and importing the pipeline defect detection image into a GIS system; performing model calibration dynamic simulation on the constructed drainage hydraulic model based on the data in the GIS and the real-time operation monitoring data of the drainage pipe network to obtain drainage pipe hydraulic data; performing defect evaluation on the sewage pipe network, the rainwater pipe network and the confluence pipe network by adopting different safety level models based on the drainage pipe hydraulic data; based on the corresponding defect probability, the risk is divided into a first-level risk, a second-level risk and a third-level risk; analyzing the pairwise variable relationship to find key indexes influencing the risk; and matching a corresponding coping strategy based on the key index influencing the risk, and displaying the coping strategy.

The present invention belongs to the technical field of urban drainage network generation, and discloses a method and system for generating an urban drainage network based on remote sensing images, including: obtaining multi-source information of a target area; using a drainage network visual model to identify the satellite remote sensing image to obtain a network topology structure diagram of the drainage network; wherein, the vertices in the network topology structure diagram of the drainage network represent well points in the drainage network, and the edges represent pipelines connected between the well points; associating the multi-source information and the network topology structure diagram through geographical coordinates, and storing the associated multi-source information and network topology structure diagram in a GIS database; calculating the pipe crown cover depth, slope and diameter of each pipeline in the network topology structure diagram, and storing the calculation results in the GIS database as the attribute information of the corresponding pipeline, thereby completing the generation of the drainage network. The present invention realizes the rapid, efficient and low-cost acquisition of the layout and attributes of the drainage network.

The invention discloses a soft soil area land settlement calculation method and device, equipment and a medium. The method comprises the following steps: acquiring geological survey data and urban planning data; performing time-space fusion of multi-source data on the geological survey data and the urban planning data, and constructing a GIS database; estimating a building load and a road load according to the GIS database; according to the building load and the road load, different calculation models are adopted for building foundation forms of different single projects to calculate vertical bearing capacity, and therefore land settlement of the single projects is calculated. According to the scheme, the land settlement of the soft soil area can be accurately predicted.

The invention relates to the technical field of facility maintenance, and particularly discloses a concrete quality data visual management method and system, and the method comprises the steps: obtaining the space layer information of different concrete structural members based on a GIS database; establishing deterioration models of different concrete structural members about the key quality indexes, and associating the deterioration models with the position coordinates; predicting quality data according to the degradation model, screening according to the quality data to obtain a concrete structural member needing to be maintained, and generating predicted degradation state information associated with the corresponding position coordinates; generating a maintenance task list; displaying a maintenance task list on a GIS map based on the position coordinates of the concrete structural member to be maintained; according to the method, a closed-loop management process is formed from data acquisition, state evaluation, future prediction and resource matching to task visualization, and predictive maintenance and intelligent scheduling of concrete structure quality are realized.

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 invention discloses an expressway high-voltage line full-life-cycle management system which comprises the steps that S100, a GIS database is established, and information including the trend of a high-voltage cable and GPS positioning is recorded; s200, a monitoring point is arranged on a to-be-monitored line of the high-voltage cable, image information of the high-voltage cable is obtained at the monitoring point, and the image information is transmitted to the central server and temporarily stored; s300, the image information in the central server is processed, the processed image is intelligently analyzed, and an analysis report is generated; s400, associating the image information, the analysis report and information in a GIS database, and generating a visual map to display the high-voltage cable, the monitoring point position and the equipment state; s500, according to the analysis report, automatically identifying and classifying abnormal conditions, and according to classification of the abnormal conditions, sending out corresponding early warning notifications; and S600, operation and maintenance personnel perform on-site overhaul or maintenance operation according to the task guidance in the early warning notification. And 24-hour all-weather monitoring of the high-voltage line is realized.

To provide a system and method for predicting a pipe failure.SOLUTION: A method includes: in response to login of a customer, uploading data (401, 402); issuing a request to a process manager of a management server (403); in response to log in of an operator of a pipe failure prediction company, issuing a request to an instance manager of the management server (404); issuing a request to a machine learning instance of a machine learning system (405); loading a raw file from a file server to a data process of the machine learning instance (406); inserting, by the data process, pipe and failure data into a GIS database and receiving, by geoprocessing, information from the GIS or country database (407); supplying the geoprocessed information to a predictor (408); transferring a prediction result to likelihood of failure (LOF) result on the file server (409); uploading it to a front end viewer (410); and allowing the log-in customer to view the LOF data (411).SELECTED DRAWING: Figure 4

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 invention relates to the technical field of building identification, and particularly discloses a satellite image building intelligent identification method and system based on deep learning and GIS, and the method comprises the steps: obtaining high-resolution satellite image data through a remote sensing satellite, capturing geographic space data corresponding to a satellite image from the Internet through employing a crawler technology, and carrying out the recognition of the high-resolution satellite image data; the collected data are input into a GIS database; the method comprises the following steps: performing coordinate mapping and region division on a satellite image by using a GIS system, and generating an image segmentation region with a geographic position identifier in combination with existing urban planning and infrastructure data; according to the invention, the improved Mask R-CNN network and the depth point convolutional network are introduced, so that the positioning, segmentation and classification of the building can be carried out more accurately. The spatial analysis function of the GIS system is combined with deep learning, so that the generation of the building distribution diagram is accurate, and the urban expansion and building growth trend can be effectively predicted.

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.

This application relates to the technical field of dynamic update of geographic information, and specifically relates to a method and system for dynamically updating a geographic information GIS database. The method includes: determining a continuous change amount based on the difference between remote sensing grayscale images of the same area at each acquisition time and the previous acquisition time; determining a sensitivity index based on the overall distribution of the continuous change amounts of all acquisition times for each area; determining the degree of interest based on the distribution of the grayscale values of all pixel points within each area at each acquisition time; and updating the geographic information GIS database based on the degree of dispersion of the continuous change amounts of all acquisition times in the adjacent previous and subsequent cycle periods of any cycle period for each area, in combination with the sensitivity index and the degree of interest. This application aims to distinguish the sensitivities of different areas, achieve reasonable allocation of resources, and improve the resource utilization rate in the process of dynamically updating the geographic information GIS database.

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 invention relates to an aircraft display technology, and introduces a real-time flight information display method based on augmented reality, which comprises the following steps: (1) acquiring real-time flight attitude data, flight position data and surrounding environment data, and carrying out data preprocessing and fusion on the real-time flight attitude data, flight position data and surrounding environment data to obtain a real-time flight attitude data, flight position data and surrounding environment data; (2) acquiring real-time geographic coordinate data of flight according to a GPS (Global Positioning System), constructing a corresponding terrain model by utilizing a preset GIS (Geographic Information System) database and the real-time geographic coordinate data of the flight, and embedding the flight attitude data and the flight position data into the corresponding terrain model to obtain a three-dimensional scene; and (3) processing the three-dimensional scene through a graphic rendering technology to obtain saliency information of the three-dimensional scene, constructing an augmented reality model through a mode recognition algorithm in combination with the saliency information of the three-dimensional scene, superposing the augmented reality model into the three-dimensional scene, and outputting the three-dimensional scene in real time.

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.

The invention discloses an AI-based water resource real-time prediction adaptive method and system, and relates to the technical field of water resource management and artificial intelligence technology cross application, and the method comprises the following steps: S1, collecting multi-source data in real time, and carrying out the preprocessing of the data, obtaining a comprehensive information set of a water resource change time period, comprising meteorological satellite data, hydrological monitoring station data, canal system Internet of Things data, irrigation area GIS database data, a constructed network topological graph before and after water resource change and comprehensive information of a change time period. According to the method, the multi-source data is collected in real time, the comprehensive information set is constructed, and the water resource change is accurately predicted in combination with the dynamic spatio-temporal feature extraction model, so that the problem of prediction deviation caused by single abnormal value processing in the prior art is effectively solved.

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 present application discloses a method for planning inspection paths of urban roads based on GIS, belonging to the technical field of path planning; it includes the following steps: obtaining information on each road in the city using a GIS database and performing rasterization processing; determining the standard height value of each road based on the coincidence between the road imaging edge and the actual road edge during UAV inspection; obtaining the inspection position error of each grid center point based on the evaluation results of the inspection accuracy when inspecting at the center point of each grid; obtaining the total cost of the UAV from the starting point to the grid center point based on the inspection position errors of all grid center points between the starting point and the grid center point; using the A-star algorithm to obtain the optimal inspection path during inspection based on the total cost. The present application takes the flight height and imaging quality as influencing factors for planning the path, making the planned inspection path more accurate, reducing the probability of missed inspections, and improving the accuracy of inspection results.

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.

The invention discloses an underground pipeline electronic information identification system and an identification method thereof, and particularly relates to the technical field of information identification, the underground pipeline electronic information identification system comprises an identification ball upper half shell, and an identification ball lower half shell is installed at the bottom of the identification ball upper half shell; the outer side of the bottom of the identification ball upper half shell is fixedly sleeved with a first connecting ring, and the outer side of the top of the identification ball lower half shell is fixedly sleeved with a second connecting ring. Through the gravitational potential energy principle of the liquid filling cavity, the upper and lower half balls of the identification inner ball can be automatically kept horizontal, the signal receiving stability of the electronic identification antenna and the read-write RFID chip is ensured, the high positioning precision is realized in combination with the low-frequency passive RFID technology, the problem that the precision of a traditional detection method of a non-metal pipeline is insufficient is solved, and the detection precision is improved. Full information such as underground facility owners and maintenance records can be stored through the read-write RFID chip, linkage of identification information, an electronic map and a CAD / GIS database is achieved, and the problem of information failure caused by dependence on a ground reference object is avoided.

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.