58 results about "Gis model" patented technology

The embodiment of the invention provides an old village transformation planning scheme generation method and system and a storage medium. The method comprises the steps of obtaining multi-source data of a to-be-transformed old village; constructing a pre-transformation GIS model of the old village to be transformed according to the multi-source data, so that the pre-transformation GIS model visually displays the multi-source data on a map; analyzing the multi-source data based on the GIS model before transformation to obtain a target transformation area of the old village to be transformed; generating a first multi-dimensional transformation scheme of the target transformation area according to the transformation demand; after superposing the first multi-dimensional reconstruction scheme to a live-action map corresponding to the target reconstruction area, simulating the first multi-dimensional reconstruction scheme to obtain a simulation result; and correcting the first multi-dimensional reconstruction scheme according to the simulation result to obtain a second multi-dimensional reconstruction scheme. A transformation scheme is automatically generated according to the multi-source data, and the planning efficiency is high; by simulating and correcting the modification scheme, the accuracy and completeness of the modification scheme are ensured.

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 discloses a photovoltaic roof health monitoring integrated system for a railway station. The system comprises an information collection system which collects photovoltaic roof BIM three-dimensional model information and GIS model data and performs three-dimensional visual display; the equipment management system is used for monitoring states of various monitoring equipment and recording operation data; the early warning management system is used for analyzing the dynamic database set threshold value and the grade early warning abnormal data; the management and maintenance system automatically generates an inspection task according to a period and records an execution condition; and the reporting system is used for summarizing information, generating various reports and supporting export. The system solves the problems of multi-dimensional data integration, intelligent fault prediction and early warning, data transmission processing real-time performance, unified management and the like, improves the operation and maintenance efficiency and management cost, has flexibility and expansibility, adapts to different photovoltaic roof requirements, effectively makes up for the defects in the prior art, and provides comprehensive guarantee for railway station photovoltaic roof health monitoring.

The invention relates to the technical field of land data processing, in particular to a land data updating and analyzing method based on spatial-temporal dynamic change, which comprises the following steps: S1, data collection and arrangement; s2, space-time dynamic evolution analysis based on a GIS model; s3, performing data analysis based on a Python script tool; s4, land data updating; according to the method, the dynamic evolution of land utilization in the time sequence in 2009-2024 is accurately presented, meanwhile, the spatial distribution change is carefully presented, through the combination of the GIS model and a Python script tool, the spatial and temporal change rule of various land features such as cultivated land, garden land, forest land and construction land is accurately revealed, a reliable basis is provided for scientific planning, and the method is suitable for popularization and application. The invention provides an LSTM-CNN fusion model based on deep learning for solving the problem that the abandoned farmland monitoring precision is insufficient, and the abandoned farmland recognition accuracy reaches 94.7% through transfer learning optimization parameters.

The invention discloses an urban building space operation and maintenance management method based on GIS + BIM + LOT. The method comprises the following steps: S1, setting a positioning base station in a target building, wherein the positioning base station communicates with a positioning module carried by an inspector and generates a positioning signal; s2, building a building BIM model; s3, building a building GIS model; s4, fusing the building BIM model and the building GIS model to generate a building three-dimensional visual model; s5, establishing a corresponding simulation base station in the building three-dimensional visualization model based on the position of the positioning base station in the target building; and S6, establishing data association between the positioning base stations and the simulation base stations, so that positioning signals generated by the positioning base stations can be synchronized to the simulation base stations when the polling personnel arrive at the corresponding positioning base stations and the positioning modules of the polling personnel communicate with the positioning base stations, and the positions of the polling personnel are displayed in the building three-dimensional visual model. The visual degree and the intelligent level of building operation and maintenance management can be improved, and the efficiency and the management effect of inspection work can be improved.

The invention provides a panoramic image acquisition, splicing and backtracking method and system for airport inspection, and relates to the technical field of intelligent operation and maintenance of airport infrastructure, and the system comprises a high-precision panoramic image acquisition module, a self-adaptive panoramic image splicing module, a three-dimensional geographic reference fusion module, and an intelligent analysis and decision module. By introducing a Beidou + high-precision RTK integrated navigation positioning technology and multi-lens panoramic acquisition equipment, acquisition of information such as pavement panoramic images, space coordinates, timestamps and the like is realized. Through an improved feature point matching algorithm, adaptive projection transformation matrix calculation and a multi-scale frequency domain fusion strategy, an image registration offset problem under a complex illumination condition is solved and a splicing seam is eliminated. Multi-dimensional data fusion of a panoramic image and a pavement plate GIS model is realized through spatial topological mapping, and a pavement inspection panoramic image intelligent analysis and decision-making system management platform is developed.

The invention belongs to the technical field of urban drainage pipe network optimization, and discloses an optimal arrangement method and system for urban drainage pipe network sensors, and the method comprises the steps: collecting the data of urban waterlogging-prone points, and obtaining a drainage pipe network GIS model through combining the node and pipeline data of an urban drainage pipe network; in the drainage pipe network GIS model, a buffer area is established by taking each waterlogging-prone point as a center, and nodes in the buffer area are drainage pipe network nodes having an influence relationship with the waterlogging-prone points; calculating waterlogging-prone point detection information content, waterlogging-prone event detection reliability, monitoring coverage, information entropy between sensors, joint entropy and mutual information of each node of the drainage pipe network; and with the detection reliability, the monitoring coverage, the maximum information entropy and joint entropy between the sensors and the minimum mutual information as optimization objectives, a multi-objective optimization algorithm is adopted to obtain optimized arrangement points of the sensors. According to the method, the accuracy, reliability and economical efficiency of urban drainage pipe network sensor arrangement can be improved, and the method can adapt to the complexity of an actual drainage pipe network.

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 method and device for generating an LOD1-grade GIS model through a municipal road BIM design model, computer equipment and a medium. The method comprises the steps that a road IFC file is read; obtaining component codes; reading the LOD level; generating IFC models corresponding to different LOD levels; creating and combining a triangulation network; extracting a road foundation line shape; setting the attribute of the CityGML; scaling the model and setting a coordinate system; and generating the CityGML file. According to the method, components involved in a municipal road BIM design model are classified and coded, and are divided according to LOD levels; according to the method and the system, LOD level definition, geometric model conversion and extraction and basic attribute setting are carried out on the component model corresponding to the LOD1 level, the municipal road BIM design model is realized to generate the LOD1 level GIS model, the integrity and accuracy of integration of the LOD1 level GIS data and the municipal road BIM data can be improved, and a technical route and a feasible method are provided for integration of the municipal road BIM and the GIS data.

The present invention discloses a safety monitoring method and system for large-scale oil storage tanks in ports based on GIS technology. The method constructs a three-dimensional GIS model of a large-scale oil storage tank area in a port to collect five key indicators: storage tank body parameters, surrounding environment parameters, port-specific parameters, meteorological and hydrological parameters, and personnel activity parameters. A multimodal indicator fusion model based on a deep neural network is constructed to calculate a comprehensive safety status index, and a time series prediction model based on a recurrent neural network (RNN) and a long short-term memory (LSTM) network is constructed to calculate the probability of an accident. A node risk model is constructed based on the comprehensive safety status index, an accident probability vector, and a graph structure of the spatial relationship of the tank area to obtain the risk level of each node. The present invention can fully perceive the safety status of the port tank area, accurately assess the risk level, and intuitively display the risk distribution, providing support for emergency decision-making, thereby improving the safety supervision level and emergency response efficiency of the port oil storage tank area.

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.

This application discloses a method and related device for generating a distribution network line switch distribution map. The method includes: generating feeder topology data based on a pre-installed GIS model of the distribution network, the feeder topology data including switch paths, switch inflection points, and basic equipment information; performing classification operations, grid division, and coordinate calculations on the feeder topology data to obtain equipment coordinate positions; acquiring topology-related parameters of the distribution network in real time based on the feeder topology data, the topology-related parameters including the number of distribution transformers, the number of users, the current value, and the switch closure status; and generating a target line switch distribution map of the distribution network based on the equipment coordinate positions and topology-related parameters using SVG technology. This application solves the technical problem that existing distribution network line switch distribution maps have a high maintenance workload and cannot adapt to zooming in and out viewing requirements.

The invention discloses a method and device for generating an LOD2-4 grade GIS model through a municipal road BIM design model, computer equipment and a medium. The method comprises the steps that a road IFC file is read; obtaining component codes; the levels of LOD2, LOD3 and LOD4 are read; generating IFC models corresponding to different LOD levels; respectively creating and combining triangulation networks of the LOD2 level, the LOD3 level and the LOD4 level; respectively setting CityGML attributes of the levels of LOD2, LOD3 and LOD4; respectively scaling the level models of LOD2, LOD3 and LOD4, and setting a coordinate system; and respectively generating CityGML files at the levels of LOD2, LOD3 and LOD4. According to the method, the integrity and the accuracy of integration of the LOD2-4-grade GIS data and the municipal road BIM data can be improved, and a technical route and a feasible method are provided for integration of the municipal road BIM data and the GIS data.

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 method for generating an LOD4-level GIS model through a municipal road BIM design model based on ADE, and relates to the technical field of municipal road three-dimensional design and geographic information, and the method comprises the steps: reading a road IFC file; obtaining component codes; reading standard component code classification and an LOD level component list; classifying the road components according to the component codes and adding LOD level attributes; generating IFC models corresponding to different LOD levels; basic attributes required by the GML are added; geometric transformation is carried out; extracting a geometric object type required by the GML; the method comprises the following steps of: respectively defining Align elements, RoadPart elements and Facility elements on the basis of ADE (Advanced Definition Extensions); and generating the CityGML file. According to the method and the system, the integrity and the accuracy of integration of the LOD4-level GIS data and the municipal road BIM data can be improved.

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.