192 results about "Data model (GIS)" patented technology

The invention relates to the technical field of emergency command, and discloses an emergency command system and method based on a BIM digital base, and the method comprises the steps: building a unified data model through expanding an IFC standard, carrying out the semantic mapping and entity alignment of BIM building information, GIS geographic space data, monitoring data and an emergency plan document, and carrying out the construction of a unified data model. The method comprises the steps of generating an emergency knowledge graph with BIM building information as nodes, coupling physical simulation and an LSTM prediction algorithm, injecting monitoring data into a BIM model to deduce a disaster process, outputting a risk thermodynamic diagram and an evacuation forbidden zone, and calculating space-time accessibility of emergency resources through a reinforcement learning model according to a deduction result. An optimization scheme including an unmanned aerial vehicle path, a personnel evacuation route and an equipment scheduling instruction is generated, the instruction is synchronized to an augmented reality individual soldier terminal and a mobile command shelter through an edge computing node, a resource deployment state is labeled in real time in a BIM model, multi-terminal operation is synchronized, the timeliness and accuracy of disaster situation sensing are remarkably improved, and the disaster situation sensing efficiency is improved. And disaster loss is effectively reduced.

The invention relates to the technical field of mineral resource prediction and analysis, and discloses a regional mineral resource prediction and analysis method and system, and the method comprises the steps: carrying out the collection and standardization, and constructing a standardized physical data set; organizing the physical parameters in a spatial dimension, and constructing a multi-dimensional tensor structure; tensor evolution modeling is carried out to generate tensor time sequence data; obtaining an optimal weight combination according to geological unit division; calculating the mineralization probability of each space unit; evaluating the credibility of the mineralization probability result, and outputting a mineralization probability graph and a credibility scoring graph; the system comprises a data acquisition and standardization module, a tensor modeling module, an evolution modeling module, a feature optimization module, a probability prediction module, a credibility evaluation module and a visual output module. According to the method, a space-parameter joint expression mode based on a four-order tensor structure is introduced, various kinds of physical field data are subjected to integrated processing in a unified space framework, and a data model reflecting multi-dimensional geological response characteristics is effectively constructed.

Embodiments of the present disclosure provide a three-dimensional scene reconstruction method and apparatus, a device, a medium, and a program product. The three-dimensional scene reconstruction method comprises: acquiring a scene image collected for a three-dimensional scene; on the basis of the scene image, determining sparse point cloud data and camera parameter information corresponding to the scene image; performing model initialization on the basis of the sparse point cloud data to obtain a current three-dimensional data model; performing rendering on the basis of the camera parameter information and the current three-dimensional data model to obtain a current color map, a current depth map and a current normal map from the perspective of the scene image, and determining a pseudo normal map from the perspective of the scene image on the basis of the current depth map; and on the basis of the current color map, the current normal map, the pseudo normal map, and an actual color map, training the current three-dimensional data model to obtain a trained target three-dimensional data model. By means of the technical solution provided by the embodiments of the present disclosure, higher-quality automatic reconstruction of three-dimensional scenes can be achieved, reducing reconstruction costs, and improving the level of detail and rendering quality of scene models.

The invention relates to the technical field of underwater concrete three-dimensional reconstruction, in particular to an underwater concrete three-dimensional reconstruction method and system based on linear structured light and stereoscopic vision fusion. The method comprises the steps of obtaining a depth map and a texture map of underwater concrete based on a line structured light module and a stereoscopic vision module, and obtaining a preliminary depth data sequence and a surface texture sequence; performing environment compensation and image enhancement on the depth data and the texture data to generate data after environment correction; based on the corrected data, performing registration and matching on the depth and texture data by using a multi-modal fusion algorithm to generate a fusion point cloud data model; motion compensation and deformation repair are carried out on the point cloud model, deformation and structure offset caused by water flow are corrected, and a repaired point cloud model is generated; the repaired point cloud is input into a three-dimensional model reconstruction engine, a high-precision underwater concrete three-dimensional model is generated, intelligent analysis is conducted on the surface of the model, and damage and structural integrity of the model are evaluated. The underwater concrete three-dimensional reconstruction method effectively improves the precision of underwater concrete three-dimensional reconstruction, solves the problem of model distortion in complex environments such as water flow and turbid water quality, and has efficient and accurate structure detection and maintenance functions.

The invention relates to the technical field of computer aided design, in particular to a BIM-based garden landscape optimization method and system, and the method comprises the following steps: extracting a spatial data model in a BIM based on the spatial feature data of garden landscape elements, carrying out the sight tracking of garden viewing nodes, capturing the visual data of different angles, and carrying out the calculation of the visual data. And analyzing the visual area range and the visual focus attraction to obtain the garden landscape sight line access coverage rate. According to the invention, through landscape data acquisition, sight tracking and illumination analysis, improvement of visual accessibility identification, quantitative evaluation of footpath environment factors, improvement of path experience judgment precision, path structure combination intersection relation and substitutability optimization, improvement of connectivity and viewing continuity, and facility layout fusion interference identification and function coordination; the space partition reasonability is improved, path and element matching is adjusted, the space response capability is enhanced, conversion from static analysis to dynamic scheduling is achieved, and the layout adaptability and the touring integrating degree are improved.

The invention discloses a complex terrain-oriented mobile geological survey data real-time acquisition and analysis system, and relates to the technical field of geological survey, and the acquisition and analysis system comprises a mobile acquisition terminal, a multi-platform acquisition device and a sensor integrated with a self-adaptive complex terrain, and a historical data template library. The storage module is used for storing multi-dimensional historical geological data subjected to standardization processing, standardization processing comprises data cleaning, feature extraction and space-time coordinate calibration, template retrieval and reuse based on feature similarity and a historical data reuse module are supported, and the historical geological data are stored through template matching, data fusion and incremental updating. And multiplexing of a historical template, semantic association of multi-source data and real-time adjustment of new data of a basic template are realized. According to the method, redundant analysis of newly-collected geological data is reduced by multiplexing the overlapped part of the historical geological survey data, and more efficient geological survey data collection and analysis can be completed only by matching the multiplexing data model and combining the new data to update the model.

The invention relates to the technical field of water network intelligent management and control, and discloses a water network management and control multi-source space digital intelligent fusion base construction and decision optimization method, which comprises the following steps: cooperatively obtaining multi-source space data; format conversion, coordinate system unification and systematic semantic annotation are carried out through a data preprocessing platform, and a normalized spatial data set is formed; constructing a data fusion model, quantitatively evaluating the quality of a data source by adopting a fuzzy comprehensive evaluation method so as to determine a fusion weight, and performing weighted fusion by adopting a specific algorithm aiming at different data types such as vectors, grids and three-dimensional models so as to generate a unified spatial data model; and finally, a decision optimization system performs decision scheme generation and iterative optimization based on the model in combination with a hydrodynamic model and a genetic optimization algorithm. By establishing a standardized data processing and targeted weighted fusion process, the problems that multi-source heterogeneous data is difficult to integrate and the fusion precision is not high are effectively solved, and a reliable data base is constructed.

The invention discloses a hydrological data model fusion analysis method based on water resource scheduling decision support, and relates to the field of water resource scheduling, and the method comprises the steps: loading an HMM-BP noise detection model, obtaining a multi-source data fusion model, and outputting a space-time grid data cube; constructing a water consumption behavior prediction unit through a TPB decision tree model, adding a water right transaction engine, and outputting a water consumption prediction value, a behavior of an intelligent contract protocol and a transaction cooperation model; an incremental method is adopted to generate N combined scene matrixes of rainfall and temperature rise correlation adjustment, an ecological stability evaluator is combined, a climate and ecological coupling model is constructed, and a scene and risk mapping table and a resource re-allocation weight are output; and constructing an intelligent rule base platform to obtain an executable decision logic tree. The system has the advantage that full-chain intelligentization of water resource scheduling is realized through modular integration. Therefore, social and market collaborative prediction, climate and ecological risk quantification and adaptive decision support are achieved.

The invention discloses a forest resource investigation method based on a laser radar and visible light synchronous photography technology, and belongs to the technical field of forestry. The method comprises the following steps: selecting a forest stand to be measured, and setting a scanning route; scanning the forest stand by using a laser radar and visible light synchronous photography technology; in the forest stand model, directly identifying tree species, and counting forest stand density; exporting point cloud data, performing individual tree segmentation according to a forest tree sequence, and generating DBH data and position coordinate data in batches; calculating the stand volume and tree species composition of the forest stand; determining a space structure of the forest stand according to the diameter at breast height data and the position coordinate data of the forest, and calculating a competition index of each tree; and linking the database with the forest stand model, establishing an augmented reality forest stand model, and realizing visualization of the forest resource data model. According to the method, the three-dimensional visual model of the forest stand can be established, the tree species can be directly identified, the forest resource survey data can be obtained through calculation, the survey efficiency is high, the cost is low, the data storage amount is small, and the later data processing difficulty is low.

The invention discloses a spatial multi-omics data integration method based on graph attention and a multivariate loss function. Comprising the following steps that spatial multi-omics data and spatial position coordinates corresponding to the spatial multi-omics data are obtained, a preset spatial multi-omics data model is input, and the model comprises a graph attention encoder and a decoder; the spatial multi-omics data model constructs a graph structure according to spatial multi-omics data and spatial position coordinates, a graph attention encoder performs cell spatial multi-omics data fusion based on the constructed graph structure, and a decoder performs data reconstruction based on fused data to complete cell spatial multi-omics data integration; and constructing a multivariate loss function to carry out iterative optimization on the cell space multi-omics data integration process of the space multi-omics data model, and outputting an optimal cell space multi-omics data integration result. According to the method, the batch effect is solved, the smoothness of a final result in space and the accuracy of spatial analysis are improved, and the integration of multi-omics data of the cell space is realized.

The invention discloses a knowledge-data dual-drive urban inland inundation simulation method considering uncertainty. The method comprises the following steps: acquiring basic hydrological elements and geographic information data to construct a feature input set; constructing an urban inland inundation physical model based on a hydrological hydrodynamic principle; the physical model parameters are iteratively corrected based on actually measured rainfall-inundation data, and a water depth data set with parameter uncertainty constraints is output; correcting data uncertainty, and constructing an urban waterlogging data set; generating and training a sub-model group through self-service sampling, and fusing structural uncertainty and weight uncertainty by adopting an integration strategy; and quantifying the uncertainty of integrated prediction, outputting a prediction result with a confidence interval, and verifying the precision. According to the method, the interpretability of a physical model and the feature learning ability of a data model are effectively fused, high-resolution and interpretable waterlogging water depth prediction in a complex urban scene is realized through a multi-source uncertainty quantification mechanism, and reliable support is provided for early warning and intelligent scheduling of urban flood.

The invention discloses a complex system data visualization modeling method based on GIS and topological graph fusion, and relates to the technical field of data visualization modeling, and the method comprises data fusion modeling, space-time anomaly reasoning, state propagation modeling and multi-dimensional visualization enhancement. The method comprises the following steps: performing unified access, cleaning and standardization processing on operation data, topological relation data, geographic space data, function configuration data and environment data of a complex system, and constructing a unified data model fusing geographic attributes and topological attributes; realizing abnormal root cause reasoning and spatial constraint propagation modeling of a system state by using a convolutional time sequence modeling method combined with a graph neural network; a dynamic evolution rule of a node state is described through a time gating mechanism, and interactive display is realized; according to the method, global visualization of the operation state of a complex system, dynamic backtracking of an abnormal propagation path and hierarchical analysis of key nodes can be realized, and the intelligent monitoring, situation awareness and decision support capabilities of the system are improved.

The invention discloses a radix astragali seu hedysari origin traceability system and algorithm. The system comprises a data acquisition module, a quality evaluation module, a risk early warning module, an algorithm analysis module and a block chain evidence storage module. According to the method, geographical indication data, biodiversity characteristic analysis and the Internet of Things technology are integrated, data collection of the whole life cycle of astragalus mongholicus is achieved, and the problems that a traditional method depends on manual recording, tampering is prone to occurring, and the cost is high are solved; a weighted random data model is adopted to perform multi-source data fusion, and the weight is dynamically adjusted through a machine learning algorithm, so that the production area discrimination accuracy is remarkably improved, and the production area discrimination accuracy can reach more than 95%.

The invention discloses a multi-modal map data-oriented network architecture search synchronous transfer learning method, and the method comprises the steps: carrying out the preprocessing operation of a collected near infrared spectrum, a collected Raman spectrum and a collected microscopic image, carrying out the feature extraction, and carrying out the fusion of the extracted features through a cross attention mechanism, and forming a new optimal fusion feature; in the constructed SSLNST module, a fused data set is divided into a source domain and a target domain through a transfer learning technology, and neural network architecture search NAS adopts a three-stage optimization strategy including network search, fine tuning and feedback; a loss weighting optimization strategy is introduced into the obtained target domain model, the proportion between the classification loss value and the sample weight is adjusted, and the training process of the fusion data model is optimized. The technical problems that in the prior art, the map fusion efficiency is low, the method is poor, and an effective model cannot be constructed under the condition that labeled sample data is insufficient are solved.

The invention discloses an AI-based household condition gridding six-dimensional element holographic display system and method, and relates to the technical field of gridding social governance information, and the system comprises a data aggregation module which integrates data across departments and carries out cleaning processing; the data modeling module is used for constructing a space-time model based on a GIS (Geographic Information System) and integrating a multi-source map, and automatically generating and realizing dynamic division of various types of grids for social governance based on the multi-source map; the social governance module is used for collecting data through an AR mobile terminal, processing the data through a clustering algorithm and arranging events according to priorities; the user condition grid module is used for dividing grids, associating six-dimensional data and dynamically associating with workers at all levels; the six-dimensional element module is used for carrying out multi-dimensional statistics on six elements; the holographic display module is used for realizing grid drilling and information visualization; and the intelligent AI module analyzes the data and generates early warning. According to the invention, intelligent analysis and dynamic display of grid information are realized through AI and holographic technologies, and an AI intelligent scheme and an efficient digital scheme are provided for social governance.

The invention provides a GIS-based intelligent livestock breeding full-chain visualization method and system, and the method comprises the steps: collecting the basic information of a farm, livestock information, production process data and other multi-source data through a standardized data interface, and carrying out the correlation mapping of business data and GIS spatial data based on a geographic coordinate system; constructing a three-dimensional data model containing spatial information, attribute information and relation information; three-dimensional scene rendering is realized by utilizing a WebGL technology, a macroscopic visual engine, a mesoscopic visual engine and a microcosmic visual engine are constructed, and multi-scale visual display is realized; constructing a full-life-cycle data model of the livestock products, and realizing visual display of full-chain traceability of the livestock products; based on a visual data analysis method, a decision support system for industrial layout analysis, breeding scale prediction, epidemic disease risk assessment and market supply and demand analysis is constructed. Visual management of the whole industry chain of livestock breeding is achieved, the industry management efficiency is improved, the epidemic disease risk prevention and control capacity is enhanced, and data support is provided for decision making of the livestock industry.

The invention discloses a city update project management platform and a control method thereof, and the method comprises the steps: obtaining the current construction data of a city update project at the current moment when the update of the city update project is detected; according to the current situation construction data, based on a preset space management coding system, constructing a three-dimensional data model of the city update project at the current moment; according to the three-dimensional data model, performing simulation display on the current situation real scene and the planning virtual scene of the city updating project at the current moment; and storing all the three-dimensional data models of the city updating project, and tracking the updating implementation progress of the city updating project according to all the three-dimensional data models. And based on the current situation construction data of the city update project at the current moment, constructing a three-dimensional information model of the city update project at the current moment by adopting an unreal engine and a GIS technology so as to display the current situation scene and the planning design scene of the city update project, and dynamically tracking the periodic construction result and data information of the city update.

This invention relates to the field of short-term meteorological forecasting technology, specifically to a forecasting model architecture based on point cloud data and a spatiotemporal frequency domain joint attention mechanism. This forecasting model architecture includes a Z-coordinate system three-dimensional point cloud visualization data model and a P-coordinate system four-dimensional spatiotemporal frequency domain joint attention model. The three-dimensional point cloud visualization data model directly represents the three-dimensional distribution of meteorological elements. Combined with the DEM trust propagation completion algorithm, the observation coverage of a 1km resolution area is increased by 40%, significantly improving the forecast accuracy in complex terrain areas (such as mountainous regions). Then, a decision tree model and satellite observation data are used to fuse precipitation data, filling in the gaps in precipitation observation data for areas without monitoring stations. Finally, based on the Earth's rotation period and P-coordinate system four-dimensional spatiotemporal time domain data, a Fourier transform + phase modulation module enhances the frequency domain capture capability of precipitation cycle signals, significantly improving the TS score for severe convective weather.

The invention discloses an automatic map drawing method and system, and the method comprises the steps: obtaining farmland multi-source data containing multispectral sensor data and a high-resolution image, and generating a first farmland data set through time sequence fusion; according to a pre-established unified data model, performing standardization processing on the first farmland data set to obtain a second farmland data set; extracting farmland boundary and topographic features from the second farmland data set, and if the complexity of the topographic features exceeds a preset threshold, introducing a digital elevation model to supplement topographic data to generate a third farmland data set; obtaining dynamic change characteristics according to the third farmland data set, judging crop growth and soil state change trends by adopting a time sequence analysis algorithm, and generating a fourth farmland data set; and extracting update features from the fourth farmland data set, fusing preset high-precision map data by adopting an incremental update algorithm, and generating a dynamic farmland map. The map updating efficiency and precision are improved, and reliable data support is provided for agricultural management and decision making.

The invention belongs to the technical field of real estate right confirmation registration, and discloses a rural house and land integrated right confirmation investigation system and method, and the system comprises a data collection module which obtains image data and auxiliary geographic information data; the data processing module is used for preprocessing the acquired image data; the ownership investigation module is used for investigating and recording ownership information of the house and the land; the data fusion module is used for fusing the geometric data and the ownership data to form a complete house and land integrated data model; the right confirmation registration module is used for carrying out right confirmation registration and generating an electronic ownership certificate; and the data management and display module is used for storing, managing and visually displaying the right confirmation registration data. According to the invention, through multi-source data fusion and intelligent processing, the efficiency and precision of rural house and land integrated right confirmation investigation are improved, and reliable technical support is provided for rural real estate registration.

The invention discloses a glass-based circuit board defect detection method and system, and relates to the technical field of glass substrate defect detection.The method comprises the steps that an optical coherence tomography system with the fixed scanning resolution of 320 * 320 is used for collecting a tomographic image of a target area, three-dimensional reconstruction is conducted on the tomographic image, and a three-dimensional body data model is obtained; extracting a plurality of three-dimensional morphological characteristics such as defect depth, transverse distribution profile and defect internal refractive index unevenness from the model; and inputting the features into a defect classifier constructed based on a three-dimensional convolutional neural network for identification, and performing spatial position verification in combination with a known design layout to generate a final detection report. According to the method, the standardization of the detection process is realized through the fixed scanning resolution, and the efficiency and the result consistency are improved; by quantifying the refractive index non-uniformity in the defect, the optical property variation type defect in the material is effectively identified, and the detection depth and accuracy are enhanced.

The invention provides a visual network topological graph dynamic drawing and layout method based on Antv / X6, relates to the technical field of front-end graph visualization, and solves the problems of insufficient dynamics, low layout efficiency, poor interaction experience and poor integration expansibility in the existing network topology drawing technology. The method comprises the following steps: firstly, constructing a standardized data model decoupled from a rendering layer, and describing a network topology structure; initializing a canvas instance based on an Antv / X6 graphic engine, instantiating the standardized data model into a graphic object, and adding the graphic object into a canvas; through selection and application of various layout strategies, executing a layout algorithm to calculate node coordinates and trigger animation transition, and generating a visual network topological graph which can be operated by a user; when a user performs multi-dimensional dynamic interaction with the topological graph, data changes are managed and monitored, and re-rendering or re-layout is triggered. According to the method, the requirements of automatic drawing, dynamic layout optimization, smooth interaction, high maintainability and the like of the topological graph can be smoothly met.

The invention provides a horizontal lifeline inspection method and system based on an inspection robot, and the method comprises the steps: collecting and fusing positioning data and line distance data to construct a three-dimensional space data model, and providing a space reference for an inspection process; through obtaining historical detection data and electric quantity data of the inspection robot, an inspection route is generated based on a three-dimensional space data model, and pertinence and rationality of inspection are realized; the inspection robot is controlled to inspect according to a planned route and collect all-round image data, the view angle limitation of an existing inspection mode is broken through, the problems that the view field of manual inspection is limited and all-round details are difficult to observe by an unmanned aerial vehicle are solved, and a comprehensive image basis is provided for subsequent defect recognition; and inputting all-round image data into the defect identification model to output defect identification data, and associating the position of the three-dimensional space data model to form a report, so that the intelligence of defect identification and the precision of positioning are realized, and the problem of poor inspection effect of the horizontal lifeline in the prior art is solved.

The application discloses a data model and data standard mapping method, device, equipment and medium, wherein the data model and data standard mapping method comprises: obtaining data standard information of metadata corresponding to each data type through a standard source end; based on a data standard template corresponding to the data type, using the data standard information to define governance attributes of the metadata corresponding to the data type, so as to generate preliminary data standards corresponding to all the metadata; a review end returns public data standards corresponding to the metadata based on the preliminary standards; any data model is obtained, the semantic distance between the data model and the public data standards is calculated, and based on the semantic distance, the mapping relationship between the data model and the public data standards is confirmed. The method can improve the efficiency of extracting general standards for different data models offline in advance in the process of formulating data standards, and intelligently establishes the associated mapping relationship between the data model and the data standards.

The embodiment of the invention discloses a drawing analysis method and device for an electric power tower, equipment and a storage medium, and the method comprises the steps: obtaining an original image of a two-dimensional engineering drawing of the tower, and carrying out the preprocessing of the original image to generate a standardized image; performing layout analysis on the standardized image, and identifying a plurality of functional areas; for a graphic region in the functional region, extracting graphic elements of the graphic region, and analyzing a topological relation between the graphic elements to construct a geometric model representing a tower structure; performing text recognition and semantic analysis on the text contained in the functional region to extract structured semantic attribute information; based on the geometric model and the semantic attribute information, establishing a corresponding relationship between the graphic elements and the semantic attribute information to generate structured data containing geometric and semantic information; and outputting the structured data as a data model in a preset format. In this way, high-precision information extraction is achieved, and the automatic analysis capacity and digital modeling efficiency of tower drawings are remarkably improved.

The invention discloses a method and system for constructing a universal digital twin asset data model for multi-source heterogeneous data exchange and sharing, and belongs to the technical field of digital twin. The method comprises the following steps: obtaining three-dimensional data structures and three-dimensional data indexes of different geometric forms in a digital twin model, the spatial topological relation between the three-dimensional data structures is identified; converting texture map information of the three-dimensional data structure into a unified format, normalizing coordinates of the texture map information, and unifying vertex coloring information of the three-dimensional data structure to a standard color space; and performing material analysis and description on different material characteristics of the digital twin model, dynamically calling node objects corresponding to the different material characteristics to obtain real material information, and finally dynamically outputting to obtain a general three-dimensional data model. According to the invention, the problem that a unified digital twin floor scene is difficult to generate due to different sources and structures of current model data can be solved.

The invention discloses a high-dynamic adaptive environmental interference compensation and calibration system, which relates to the technical field of environmental interference compensation, and comprises a high-dynamic adaptive deep learning model subsystem and a preprocessing module for generating a fusion feature vector in original radar data; a front-end feature extraction module performs feature extraction on the fusion feature vector through a multi-layer convolutional network and a multi-head attention Transform module; the self-adaptive physical constraint module corrects the extracted features based on physical residual errors through a full-connection network to generate corrected features; the adaptive optimization subsystem is embedded into the high-dynamic adaptive deep learning model subsystem and comprises an IRNN adaptive compensation branch, a multi-view data modeling module, a fusion module and a separation module; and the online environmental parameter calibration subsystem is used for dynamically calibrating system parameters based on the environmental parameters. According to the invention, environment interference can be captured and compensated in real time in a complex environment, and weak life signals of life bodies can be accurately detected.

The invention provides a geological engineering and surveying and mapping engineering data integrated analysis method, and belongs to the technical field of geological prospecting. Multi-level decomposition expression of a geologic body is realized by constructing a multi-scale geological spatial data model, and a heterogeneous data reference system is unified by adopting a space-time registration algorithm; performing optimization dimension reduction processing by combining a minimum spanning tree algorithm to reduce calculation complexity to O (ElogV), establishing probability association between geological and surveying and mapping data based on a probability graph model, integrating key information by applying an adaptive weight fusion algorithm to form a fusion feature set, and inputting the fusion feature set into a geological surveying and mapping double-domain model to perform deep analysis, a physical error correction module is arranged to ensure result reasonability, a calculated amount precision balance function is introduced to dynamically adjust model parameters, optimal balance is achieved between analysis quality and calculation efficiency, and the problems of calculation resource consumption and real-time performance in massive geological surveying and mapping data processing are effectively solved.

The invention relates to the technical field of natural resource management, in particular to a marine park natural resource right confirmation management system and method based on three-dimensional modeling. Comprising the following steps of 1, constructing a three-dimensional data model; step 2, performing visual representation; step 3, spatial analysis and calculation; 4, establishing a database and a management interface; and constructing a three-dimensional right confirmation registration unit body data model of the natural resources, and realizing three-dimensional space distribution feature description, reserve estimation, ownership boundary division and visual representation of the natural resources. The problems that traditional two-dimensional data is insufficient in precision, poor in visualization effect and low in management efficiency are solved, the precision and efficiency of natural resource management are remarkably improved, and powerful technical support is provided for overground and underground space integrated management of natural resources.

The present invention discloses a mobile real-time geological survey data acquisition and analysis system for complex terrain, which relates to the field of geological survey technology. The acquisition and analysis system includes: a mobile acquisition terminal, an integrated multi-platform acquisition device and sensor that adapts to complex terrain, a historical data template library, which stores multi-dimensional historical geological data that has undergone standardization processing. The standardization processing includes data cleaning, feature extraction, and time-space coordinate calibration, and supports template retrieval and reuse based on feature similarity. A historical data reuse module realizes the reuse of historical templates, the semantic association of multi-source data, and the real-time adjustment of new data of the basic template through template matching, data fusion, and incremental updates. This system reuses the overlapping parts of historical geological survey data, thereby reducing the redundant analysis of newly collected geological data. It only needs to match the reused data model and update the model in combination with the new data to complete more efficient geological survey data acquisition and analysis.