36 results about "Gis model" patented technology

The invention discloses a multi-mode driven cross-industry digital twinning universal platform architecture and an implementation method, and relates to the technical field of digital twinning and artificial intelligence. The method comprises the following steps: establishing a multi-modal driven cross-industry digital twinning universal platform, deploying a multi-source heterogeneous data acquisition component in a data access layer to access text, image and time series data, and converting unstructured data into a unified feature space by adopting a Transform-GNN cross-modal encoder in a multi-modal fusion layer; in the large model scheduling layer, feature vectors are analyzed through a multi-modal large model center based on an industry knowledge graph, an algorithm is dynamically matched, and an initial decision strategy is generated; the method comprises the following steps of: establishing a parameterized template library, and supporting security cooperative training of a third-party algorithm scheduling engine on a third-party algorithm, and deploying a lightweight digital twin engine in a twin engine layer: establishing the parameterized template library: pre-defining three templates of geographic space, equipment assets and business processes; deploying the twin model to an edge node by adopting a knowledge distillation method; in the interactive application layer, loading the BIM / GIS model in a lightweight manner through a low-code tool, and completing scene construction through a dragging component; and rendering a twin state in real time through a three-dimensional cockpit, analyzing a natural language instruction and performing corresponding operation.

The invention relates to the technical field of intelligent construction and digital twinning, and discloses an intelligent management platform system for seawall engineering construction whole-process data integration, and the system comprises a multi-source heterogeneous data collection module which is used for obtaining and standardizing construction data; the core data fusion and reasoning module is used for constructing a construction process causal atlas representing the relationship between elements and calculating the credibility of each state node through a multi-source evidence theory fusion engine; the intelligent application and evolution module is used for carrying out risk forward propagation early warning and root cause backward tracing diagnosis based on the construction process causal atlas; and the comprehensive visualization and decision support module is used for performing fusion display on the analysis result and the BIM / GIS model. According to the method, the causal knowledge graph and evidence fusion reasoning mechanism is constructed, the problems of data islands and information uncertainty are solved, active early warning and accurate traceability of construction risks and dynamic self-adaption of the system are achieved, and the intelligent management level of seawall engineering is remarkably improved.

The invention relates to a multi-modal data-driven rail transit construction potential safety hazard identification method and system, and solves the problem that the accuracy and real-time performance of potential hazard identification are insufficient due to the fact that multi-source data cannot realize deep collaboration, and the method comprises the following steps: obtaining multi-modal data containing a BIM + GIS model, an unmanned aerial vehicle image stream and Internet of Things data; according to an edge end-cloud architecture, by taking BIM + GIS coordinates as a reference, the edge end associates and binds data and cleans and transmits the data to the cloud, and the cloud corrects and generates a standardized data set; and the comprehensive risk index is calculated by using an entropy weight method, and a report is generated and pushed to a construction management terminal. The method has the following effects: the multi-modal data barrier is broken, the integrated accurate identification of the hidden hidden danger of the rail transit construction is realized, and the accuracy and efficiency of the construction safety management and control are fundamentally improved.

The invention provides a BIM + GIS model generation and dynamic updating method for curtain grouting engineering, and relates to the technical field of grouting engineering geologic model dynamic modeling. According to the method, a static engineering-geology integrated model is established by unifying a coordinate system and a coding system, and a fracture network model is dynamically generated based on data in a construction stage. According to the method, the small fracture network is corrected through pressurized water and slurry seepage data, and high-precision grouting geologic modeling is achieved. Compared with a traditional method, the model updating efficiency is remarkably improved, multi-scale fracture analysis is supported, and it is ensured that dynamic changes are closely combined with actual construction data.

The invention provides an electric power project progress identification method based on integration of a live-action three-dimensional GIS (Geographic Information System) and a BIM (Building Information Modeling), which comprises the following steps of: acquiring a multi-view image of a construction site by utilizing oblique photography of an unmanned aerial vehicle, and constructing a live-action three-dimensional GIS model based on the image; mapping an electric power engineering BIM design model of a construction site to a geographic coordinate system which is the same as the real scene three-dimensional GIS model to obtain a fusion model; based on an artificial intelligence image recognition algorithm, engineering components are detected for the images, and detection results are mapped to the fusion model according to image positioning information; correspondingly comparing the actual installation state with a component in a BIM design model, and generating construction progress information of a component level; and displaying the fusion model in a three-dimensional visual platform, and comparing the construction progress information with a preset planned progress. The real-time performance and accuracy of progress monitoring are remarkably improved, personal errors are reduced, and the project management efficiency is improved.

The invention discloses a street slow development assessment method based on street view photo analysis, and belongs to the technical field of intelligent traffic systems. The method comprises the following steps: firstly, carrying out image segmentation and target identification on a street scene picture to obtain an image proportion of each element of a street, and establishing a street slow development index system based on street element proportion combination calculation; secondly, establishing a road network gis model, calculating the average proportion of various spatial elements in the street view image corresponding to the whole street by establishing a road section buffer area, and calculating according to a formula to obtain each index result; then grading and scoring index calculation results by using a natural discontinuity point grading method, and analyzing scoring results by using an entropy evaluation method to obtain index weights; and finally, carrying out weighted calculation to obtain a slow development index of the street.

This application discloses a method, apparatus, device, and storage medium for correcting a line GIS model. The method involves acquiring ledger data of the line GIS model, including line data and primary equipment data. Based on this data, the effective coverage rate of the corresponding line in the GIS model is calculated, and a GIS single-line map of the effectively covered lines is created to analyze the line topology and effective coverage rate. Then, based on the effective coverage rate and the GIS single-line map, abnormal equipment data in the line GIS model is located. Using the effective coverage rate as an anomaly detection index, multiple abnormal lines in the line GIS model are detected simultaneously, effectively improving the efficiency of abnormal line detection. Furthermore, the GIS single-line map is used to quickly locate abnormal equipment in abnormal lines based on the line topology, effectively improving the efficiency of abnormal equipment location. Finally, the abnormal equipment data is corrected, thereby effectively improving the correction efficiency of the line GIS model.

The invention discloses an AI-based geological GIS model rapid retrieval method and system, and relates to the technical field of geological information retrieval, and the method comprises the following steps: obtaining a geological GIS model library, extracting geological attribute characteristic parameters and unique identifiers in the geological GIS model library, forming a mapping relation, forming a relation mapping table, and obtaining geological data to be recognized. Geological attribute analysis is carried out on the to-be-recognized geological data to obtain to-be-recognized geological attribute parameters, first retrieval is carried out on the to-be-recognized geological attribute parameters based on the relation mapping table to obtain a candidate set, second retrieval is carried out on the candidate set to obtain a comprehensive matching degree, and the geological GIS models in the candidate set are subjected to priority ranking according to the comprehensive matching degree to obtain the geological GIS models. And outputting the retrieval results sorted according to the priorities. The problems that a traditional method is low in efficiency and insufficient in precision are effectively solved, and the efficiency and accuracy of geological GIS model retrieval are remarkably improved.

The invention relates to the technical field of GIS (Geographic Information System) modeling, in particular to a digital terrain resource GIS model construction method, which comprises the following steps of: determining space complexity based on the confusion degree of all data points in the point cloud of each tree; based on the distance from all data points in any cylindrical area of the point cloud of each tree to the mass center of the cylindrical area and the coordinate difference of all data points, the point cloud wave disorder degree is determined in combination with the space complexity; on the basis of the distance between each tree in each region and each tree in the neighborhood of each tree and in combination with the point cloud wave disorder degree, determining the tree distribution density so as to adjust the grid window size of each region; and constructing a GIS model of the target forest region based on the rasterized three-dimensional point cloud. According to the method, the size of the grid is adjusted in a self-adaptive manner, so that the construction precision and efficiency of the digital terrain resource GIS model are improved.

The invention relates to a soil polycyclic aromatic hydrocarbon migration flux Internet of Things-GIS spatial modeling analysis method and system, and the method comprises the steps: collecting data in real time through a Beidou satellite and LoRa dual-mode transmission technology, and outputting a standardized data set; based on the standardized data set, analyzing the PAHs source and the contribution rate thereof through a characteristic ratio method and an APCS-MLR model, determining adsorption and diffusion coefficients in combination with an indoor experiment, establishing a migration rate equation, and calculating key parameters; constructing a spatial database in an ArcGIS, fusing a physical mechanism and a random forest model based on the standardized data set and the key parameters, realizing PAHs migration simulation through Bayesian optimization, and constructing a GIS model; inputting real-time monitoring data into the GIS model, predicting spatial and temporal distribution of PAHs in a future preset time period, and outputting a migration probability graph and three-dimensional vertical migration characteristics; and based on the migration probability graph and the three-dimensional vertical migration characteristics, integrating a Nemero index, a toxic equivalent and a lifelong carcinogenic risk, and dividing risk levels.

The invention discloses a photovoltaic power station GIS modeling method based on image recognition and an unmanned aerial vehicle technology. The photovoltaic power station GIS modeling method comprises the following steps that arrangement information of photovoltaic strings is obtained in a construction design drawing of a photovoltaic power station through the image recognition technology; scanning the target photovoltaic power station through an unmanned aerial vehicle technology to obtain a three-dimensional model of the target photovoltaic power station; extracting a photovoltaic string number and relative coordinate information thereof in the construction design drawing; acquiring geographical location information of the photovoltaic string based on the three-dimensional model; according to the photovoltaic string number, the relative coordinate information and the geographic position information, establishing a mapping relation between the photovoltaic string number and the geographic position information; generating a photovoltaic power station GIS model based on the mapping relation; and correcting and optimizing the photovoltaic power station GIS model by comparing the construction design drawing with the unmanned aerial vehicle modeling data. According to the method, the unmanned aerial vehicle technology and the image recognition technology are combined, so that the problems of low efficiency and accuracy of GIS modeling of the photovoltaic power station in the existing photovoltaic power generation technology are solved.

The invention relates to the technical field of image processing, and provides a low-altitude route planning method and system based on image processing, and the method comprises the steps: obtaining an urban GIS model, point cloud data and a remote sensing image, generating an urban environment high-precision three-dimensional model, and obtaining an urban discrete graph; acquiring a plurality of neighborhood unmanned aerial vehicles of the target unmanned aerial vehicle at the current node; obtaining the dynamic interaction strength and static interaction strength of the target unmanned aerial vehicle and each neighborhood unmanned aerial vehicle in the verification flight stage, and further obtaining the interaction strength of the target unmanned aerial vehicle at the current node; judging whether the target unmanned aerial vehicle needs to adjust a preset node at the current node through the threshold value, and obtaining a plurality of candidate nodes of the target unmanned aerial vehicle at the current node; and acquiring a flight target node of the target unmanned aerial vehicle at the current node to realize low-altitude route real-time planning of the unmanned aerial vehicle. The method aims at solving the problem that unmanned aerial vehicle low-altitude route planning does not consider task scheduling interference of other unmanned aerial vehicles and is difficult to adapt to dynamic environment changes.

The invention discloses a route planning method for transporting power equipment by an unmanned aerial vehicle based on a complex terrain, and the method comprises the steps: planning a transportation route through the unmanned aerial vehicle, carrying the power equipment for material transportation, and constructing a real-time GIS geographic model through a construction position terrain; the method comprises the following steps: analyzing a construction drawing of a power line project, marking a target tower construction position in a real-time GIS geographic model, constructing a power construction GIS model in combination with a power line topological structure, marking and obtaining a flight area between the position of a construction material and the target tower construction position on the power construction GIS model, and dividing the flight area into a plurality of passable grids; and planning a flight path of the unmanned aerial vehicle carrying the construction material through a preset algorithm, and constraining the planned flight path based on a preset constraint condition to generate an optimal flight path of the unmanned aerial vehicle. By reasonably planning the transportation route of the unmanned aerial vehicle, the power grid equipment is efficiently and safely transported to a specified point, and the effect of improving the construction speed of power line engineering is achieved.

Provided in the present invention are a GIS-based intelligent inspection command method and system. The method comprises: step 1, dynamically acquiring site information of an inspection site at which inspection command needs to be performed; step 2, on the basis of GIS technology and the site information, constructing an inspection GIS model corresponding to the inspection site; step 3, on the basis of the inspection GIS model, determining an appropriate inspection command policy; and step 4, on the basis of the inspection command policy, correspondingly commanding at least one first inspector at the inspection site. In the GIS-based intelligent inspection command method and system of the present invention, a GIS model is constructed on the basis of site information of an inspection site, an appropriate inspection command policy is formulated on the basis of the GIS model, and inspectors are commanded correspondingly, and thus it is not necessary to deploy an inspection commander at the inspection site, thereby reducing labor costs; moreover, the occurrence of problems such as incomplete and irrational command that may exist in manual inspection command is avoided.

This invention relates to the field of environmental monitoring, and more particularly to a soil environmental monitoring method and system based on multi-level sampling. The soil environmental monitoring method provided by this invention includes the following steps: acquiring a GIS model of a target area; based on the GIS model of the target area, deploying a first-level data acquisition module within the target area at a macro scale, and using the first-level data acquired by the first-level data acquisition module to identify at least one abnormal sub-area within the target area; based on the GIS model of the abnormal sub-area, deploying a second-level data acquisition module within the abnormal sub-area at a meso scale, and using the second-level data acquired by the second-level data acquisition module to identify at least one abnormal point within the abnormal sub-area; based on the GIS model of the abnormal point, deploying a third-level data acquisition module at each abnormal point at a micro scale, and using the third-level data acquired by each third-level data acquisition module to identify the soil condition at each abnormal point.

The invention discloses a GIS internal discharge arcing effect evaluation method and system considering equipment structure characteristics and fault arc ablation effects, and belongs to the technical field of GIS fault evolution and operation reliability evaluation. The method comprises the following steps: constructing a GIS model based on structural characteristics and a design drawing of GIS equipment, and setting a short-circuit fault and calculation parameters; starting multi-field coupling evaluation for the GIS model, solving temperature and air pressure distribution, performing fault arc ablation effect simulation based on the set short circuit fault and calculation parameters under the solved temperature and air pressure distribution, and ending the multi-field coupling evaluation; and acquiring multi-field coupling evaluation data, and evaluating the internal discharge arcing effect of the GIS equipment according to the multi-field coupling evaluation data. According to the method, the internal discharge arcing effect of the GIS equipment can be evaluated according to the multi-field coupling evaluation data, and pressure and temperature changes and distribution characteristics caused by the arcing effect of the GIS of different structures are obtained.

The invention discloses a multi-target site selection optimization method and device for a sewage treatment plant and electronic equipment, and relates to the technical field of sewage treatment. The method comprises the following steps: determining candidate points of a plurality of sub-service areas and a sewage treatment plant from a target area by using a GIS model; constructing a hierarchical structure model to obtain a plurality of evaluation indexes and the weight of each evaluation index, and determining the score of each evaluation index of each candidate point based on the basic information of each sub-service area and the basic information of each candidate point; and on the basis of the score of each evaluation index of each candidate point, the weight of each evaluation index, a preset target optimization function and a preset constraint condition, determining a target site selection scheme of the sewage treatment plant, the target site selection scheme being obtained by taking minimization of a cost target function and maximization of a benefit target function as targets. Therefore, the optimal sewage treatment plant site selection and treatment scale are provided by combining multiple factors such as cost, economy, environment and social benefits, and the limitation problem of a traditional decision model is solved.

The invention discloses an operation superposition risk quantitative early warning method and system fusing three-dimensional GIS and multi-dimensional dynamic data, and belongs to the technical field of industrial internet and safety production. The method comprises the following steps: acquiring multi-source operation permission data including three-dimensional space coordinates, operation types and initial risk values; mapping an operation entity in the three-dimensional GIS model, and constructing a dynamic risk influence body (Risk Volume) which deforms along with environmental parameters in combination with real-time environmental field data (wind speed, wind direction, gas density and the like); detecting whether the risk influence bodies of different operation entities have a three-dimensional space intersection or not by using a hierarchical collision detection mechanism (bounding box coarse screening and grid actuarial); if the intersection exists, obtaining an interaction influence parameter based on a semantic interaction relationship of the job type, and calculating a superposition risk quantized value by using a preset composite risk assessment logic; and when the numerical value exceeds the limit, triggering early warning containing the three-dimensional positioning information. According to the method, the three-dimensional dynamic diffusion model and the spatial index algorithm based on the physical law are introduced, so that the problem that a planar GIS cannot identify the three-dimensional crossing operation risk and the bottleneck of mass data calculation performance is solved, and accurate quantification and visualization of the dynamic superposition risk of a complex industrial site are realized.

The application provides a BIM and GIS model application method, system and readable storage medium in a WebGL game engine, the application method comprises the following steps: S1: importing a bridge rvt original model file, and deleting elements invisible to users; S2: exporting the attributes of the rvt to a database; S3: exporting into gltf, and performing a same-material merging operation on the gltf and performing compression processing through a compression algorithm; S4: loading the gltf file and materials through threejs on the front end; S5: configurable compression of Nginx to reduce transmission time; S6: after an object loaded by threejs is clicked, the object is associated with the attribute data saved in the database through an id, and is used for display; and S7: loading threejs on cesium or other maps, the BIM model loading based on the game engine is improved in user experience, so that a first person and an immersive experience can be realized, and light and shadow effects can be added.

The invention discloses a BIM (Building Information Modeling) and GIS (Geographic Information System)-based rail transit digital model multi-source data conversion and integration method, which comprises the following steps: constructing a B / S (Browser / Server) architecture based on a Cesium open source map engine, and the B / S architecture comprises a data layer, a business logic layer and a presentation layer. According to the system, topographic data collected by an oblique photogrammetry technology, vector data collected by an oblique model and BIM data generated according to rail transit construction requirements are integrated, the data from different sources have respective characteristics and advantages, and a spatial semantic integration algorithm in the conversion integration unit is utilized; according to the method, data in a BIM model is converted and integrated into a GIS model, consistency in geometry, semantics and precision is ensured, the problems of semantic loss, geometric deformation and the like existing in BIM and GIS data conversion in a traditional method are solved through a spatial semantic integration mode, data seamless integration in the true sense is achieved, and the method is suitable for large-scale popularization and application. Reliable guarantee is provided for subsequent data analysis and application, and the requirements of workers are met.

This application relates to the fields of smart construction and digital twin technology, and discloses a smart management platform system for the integration of data throughout the entire construction process of a seawall project. The system includes: a multi-source heterogeneous data acquisition module for acquiring and standardizing construction data; a core data fusion and reasoning module for constructing a causal graph representing the relationships between elements in the construction process, and calculating the credibility of each state node through a multi-source evidence theory fusion engine; an intelligent application and evolution module for performing forward risk propagation early warning and root cause tracing diagnosis based on the causal graph; and a comprehensive visualization and decision support module for integrating and displaying the analysis results with a BIM / GIS model. This invention overcomes the problems of data silos and information uncertainty by constructing a causal knowledge graph and an evidence fusion reasoning mechanism, achieving proactive early warning, accurate source tracing, and dynamic self-adaptation of construction risks, significantly improving the smart management level of seawall projects.

This application discloses a display data processing method, computing device, and storage medium based on digital twins, wherein the method comprises: obtaining BIM model data of a target building object; encoding the BIM model data according to a preset algorithm to obtain BIM encoded data, wherein the encoded data includes at least an encoding attribute field; preprocessing the loaded GIS model data corresponding to the target building object to obtain GIS preprocessed data; matching the BIM encoded data and the GIS preprocessed data; mapping the matching result to the encoding attribute field, and then loading a new BIM model of the target building object to obtain fused display data. This method realizes the data display requirements in the early stages and processes of a project, such as the design stage and demonstration stage, and achieves efficient and accurate fused display effects.

This invention relates to a digital management method and system for landslide control, comprising: acquiring a BIM+GIS model for the construction phase, construction phase data, operation and maintenance (O&M) phase data, O&M rules, and components required for the O&M rules; obtaining an O&M phase BIM+GIS model based on the components required for the O&M rules; decomposing the O&M phase BIM+GIS model according to the O&M rules to obtain the smallest O&M unit; identifying the construction phase data to obtain transformed structured data; matching the construction phase data, transformed structured data, and O&M phase data with the smallest O&M unit to generate an O&M phase data mapping table; and visually displaying the construction phase data, O&M phase data, and transformed structured data based on the O&M phase data mapping table and the O&M rules. This invention, by decomposing the O&M phase BIM+GIS model and transforming the construction phase data to establish an O&M phase data mapping table, achieves efficient information extraction from the model without affecting the O&M effectiveness.

The application relates to the technical field of GIS modeling, in particular to a digital terrain resource GIS model construction method, which comprises the following steps: determining a spatial complexity based on the confusion degree of all data points in the point cloud of each tree; determining a point cloud confusion degree based on the distance of all data points in any columnar region of the point cloud of each tree to the centroid of the columnar region, the coordinate difference of all data points, and the spatial complexity; determining a tree distribution density based on the distance between each tree in each region and each tree in the neighborhood thereof and the point cloud confusion degree, so as to adjust the grid window size of each region; and constructing a GIS model of a target forest area based on the three-dimensional point cloud after gridding. The application improves the precision and efficiency of digital terrain resource GIS model construction by adaptively adjusting the grid size.

The invention provides an indoor positioning method fusing GIS and user characteristic behavior analysis. The indoor positioning method comprises the following steps: constructing a semantic GIS model comprising a structural layer, a functional layer and a POI layer; based on multi-sensor data, Kalman filtering and ellipsoid calibration are adopted for noise reduction processing, and barometer height measurement and magnetometer magnetic anomaly detection are combined; the gait, stride frequency and step length of the user are recognized, an activity-position transition probability matrix is established, and intention inference is carried out in combination with a GIS function layer; designing a particle filtering framework: dynamically initializing a particle swarm based on a Wi-Fi signal, propelling particles in combination with a motion model, calculating a signal matching degree through Gaussian matching, and fusing an environment adaptive weight and a behavior feature weight to realize weight updating; an adaptive resampling mechanism triggered by an ESS threshold is adopted, user behavior characteristics are fused to carry out optimization circulation, a maximum posterior probability position is calculated, local grid optimization is carried out, and the problems of low indoor positioning precision, large signal fluctuation and particle degradation are solved.

The present application relates to the technical field of graphics engine integration, and in particular to a mixed graphics engine automatic switching method for long and large highway bridge multi-service scenarios, comprising: S1. Building a mixed graphics engine integration environment; S2. Selecting a current service scenario of a long and large highway bridge project; S3. Judging whether the current service scenario is project scheme demonstration or project delivery, if yes, executing step S4, if not, executing step S6; S4. Connecting a GIS engine horizontal switching interface, switching a three-dimensional GIS engine by using a WebGL technology, reusing graphics engine capability, and updating a GIS model; S5. Judging whether the current service scenario is project scheme demonstration, if yes, executing step S7, if not, executing step S6; S6. Connecting a BIM engine horizontal switching interface, switching a BIM engine by using a WebGL technology, reusing graphics engine capability, and updating a BIM model; S7. Judging whether to enter other service scenarios, if yes, returning to step S3, if not, executing step S8; S8. Completing a model processing task.

This application relates to a model rendering method, apparatus, computer equipment, and storage medium. The method includes: acquiring the vibration and acoustic feature map and appearance model information of a gas-insulated switchgear (GIS); extracting saliency decoding features of the GIS based on the vibration and acoustic feature map using a saliency encoding / decoding network; extracting scene decoding features of the GIS based on the appearance model information using a scene encoding / decoding network; fusing the saliency decoding features and scene decoding features of the GIS to obtain fused features of the GIS; and rendering the original GIS model based on the fused features to obtain the target model of the GIS. This method can increase the efficiency of model rendering and reduce the consumption of manpower and material resources.

Embodiments of the present invention provide a method, system, and storage medium for generating a planning scheme for old village renovation. The method includes: obtaining multi-source data for an old village to be renovated; constructing a pre-renovation GIS model of the old village to be renovated based on the multi-source data, so that the pre-renovation GIS model can visually display the multi-source data on a map; analyzing the multi-source data based on the pre-renovation GIS model to obtain a target renovation area for the old village to be renovated; generating a first multi-dimensional renovation scheme for the target renovation area based on renovation requirements; superimposing the first multi-dimensional renovation scheme onto a real-life map corresponding to the target renovation area, simulating the first multi-dimensional renovation scheme to obtain a simulation result; and revising the first multi-dimensional renovation scheme based on the simulation result to obtain a second multi-dimensional renovation scheme. Automatically generating renovation schemes based on multi-source data improves planning efficiency; and revising the renovation schemes through simulation ensures the accuracy and completeness of the renovation schemes.

The invention discloses a land resource dynamic management method and system integrating GIS and remote sensing, and relates to the technical field of land exploration. The system comprises a remote sensing image interface used for continuously receiving remote sensing images; the GIS model is used for constructing a digital model containing geographic comprehensive information in the management area; the dynamic identification module is used for continuously acquiring remote sensing images and extracting a remote sensing value of each type of remote sensing project in each basic unit; calculating a remote sensing critical value of each type of remote sensing project by combining the remote sensing value of each type of remote sensing project of the basic unit; dividing the management area into management sub-areas with similar internal land resource states according to the remote sensing critical value of each type of remote sensing project; and marking and continuously updating each management sub-region in the GIS model, and if the management sub-region changes, carrying out identification reminding in the GIS model. According to the invention, timely and effective management of land resource changes in the management area is realized.

The present invention belongs to the field of data management technology, specifically to a BIM-based pipeline relocation management method and system, comprising the following steps: S1) creating a BIM model based on as-built drawings; S2) creating a three-dimensional real-world model; S3) using the IFC format as the carrier for the BIM model and the GML format as the carrier for the GIS model; employing a semantic mapping method to achieve conversion and fusion between the two different standard formats of IFC and GML; and S4) managing the fused GML model by layer. The semantic mapping method achieves the fusion of BIM and GIS model data, breaking down data silos, building a unified data foundation, avoiding data redundancy and inconsistency, and significantly improving data management efficiency.