19 results about "Gis model" patented technology

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 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 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 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.

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 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 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.

The application relates to a soil polycyclic aromatic hydrocarbon migration flux Internet of Things-GIS spatial modeling analysis method and system, which comprises the following steps: collecting data in real time through Beidou satellite and LoRa dual-mode transmission technology, and outputting a standardized data set; based on the standardized data set, the sources and contribution rates of PAHs are analyzed through a characteristic ratio method and an APCS-MLR model, adsorption and diffusion coefficients are determined through indoor experiments, a migration rate equation is established, and key parameters are calculated; a spatial database is constructed in ArcGIS, a GIS model is constructed by fusing a physical mechanism and a random forest model through Bayesian optimization based on the standardized data set and the key parameters, PAHs migration simulation is realized, and the GIS model is constructed; real-time monitoring data are input into the GIS model, the spatiotemporal distribution of PAHs in a future preset time period is predicted, a migration probability graph and three-dimensional vertical migration characteristics are output; and based on the migration probability graph and the three-dimensional vertical migration characteristics, a risk grade is divided by integrating a Nemerow index, a toxicity equivalent and a lifetime carcinogenic risk.

The application discloses a kind of to BIM model and GIS model is carried out coordinate registration method and device.Method includes: the naming rule of design BIM model and the hierarchical coding rule of BIM model coding;Establish the database of the hierarchical coordinate conversion parameter of storage BIM model;From database, the first to N sub-coding of BIM model to be designed and its corresponding hierarchical coordinate conversion parameter value are obtained;Based on the first cumulative conversion matrix, the modeling coordinate system is created for the BIM model to be designed, and after design is completed, the BIM model designed is guided to engineering project coordinate system;Second platform for integrated BIM model determines the second cumulative conversion matrix of the BIM model in geodetic coordinate system relative to GIS model coordinate origin;Based on the second cumulative conversion matrix, the BIM model is registered into GIS model using geodetic coordinate system.The application provides unified coordinate identification and application scheme across software, cross-platform.

The application relates to the technical field of municipal pipeline wiring, and discloses an intelligent municipal pipeline wiring method and system based on path optimization, which comprises the following steps: preprocessing multi-source municipal pipeline related data to obtain a standardized data set, constructing a BIM and GIS model and fusing the two models to form a three-dimensional digital base; dividing three detection areas by hierarchical spatial indexing and establishing a pipeline detection unit, completing conflict checking and semantic topology analysis, and demarcating a constraint boundary; constructing a multi-constraint optimization model, adopting a multi-objective genetic algorithm and deep reinforcement learning hybrid optimization, checking conflicts in real time and adjusting parameters, and generating an optimal pipeline path scheme; generating construction instructions according to the scheme, completing field lofting through RTK and laser radar, collecting laying parameters in real time, comparing the laying parameters, and generating a correction scheme when the deviation exceeds the limit. The application can realize global optimization of a pipeline path under multi-constraint conditions and dynamic adaptation in a construction stage.

The invention provides a comprehensive management and control method and system for engineering construction of a water conservancy and hydropower long-distance underground cavern, and the method comprises the steps: taking a unit project as the minimum management granularity, dividing project tasks according to the construction quality inspection and evaluation regulation of water conservancy and hydropower engineering, and endowing the project tasks with unique names and codes; creating a BIM model based on a unit project, associating key information such as an initial mileage stake number and an end mileage stake number in a model attribute table, and pushing the key information to a BIM + GIS model platform; business collaboration data, monitoring data and geological data are integrated into a data resource pool in a unified mode through double identification of'unit engineering codes + mileage stake numbers / mileage intervals', and a comprehensive control graph of'GIS macroscopic presentation engineering overall progress-BIM mesoscopic presentation section / work area progress-unit engineering microcosmic presentation specific process progress' is finally constructed based on BIM + GIS. And engineering dynamic, refined and active management and control are realized. And the construction efficiency and the safety guarantee capability of the water conservancy and hydropower long-distance underground cavern project are obviously improved.