94 results about "Three dimensional architecture" patented technology

The invention discloses an emergency escape path planning system and method based on BIM and Internet of Things dynamic identification, and the method comprises the steps: constructing a three-dimensional building information model, forming a digraph structure for the constructed three-dimensional building information model, and extracting the geometric information of each node; constructing a space mapping table of corresponding space units in the three-dimensional building information model and networking sensors deployed in the building; then multi-dimensional information including environmental parameters, personnel positioning and structural states in the building is collected in real time, so that a real-time dynamic data source in the building is formed; mapping the collected dynamic real-time data to a corresponding space unit in the constructed three-dimensional building information model, and carrying out dynamic identification on a dangerous area and an obstacle; and then on the basis of the real-time space state diagram, an optimal escape path avoiding a high-risk area is automatically generated, and dynamic re-planning can be carried out. According to the scheme, the space expression ability of the BIM and the real-time sensing ability of the Internet of Things are deeply fused, dangerous factors and traffic obstacles in the building can be dynamically recognized, the real-time escape path is generated in combination with the path algorithm, and the problems existing in the prior art can be effectively solved.

The invention discloses a collision detection method and a computer readable storage medium. The collision detection method comprises the following steps: determining all static components belonging to a preset static type and all dynamic components belonging to a preset dynamic type in a three-dimensional building model; static SDF data are constructed for all static components in the three-dimensional building model; wherein the static SDF data comprises a plurality of static SDF values, and the static SDF values are SDF values from a space point in the three-dimensional building model to the surface of the nearest static component; constructing dynamic SDF data for all dynamic components in the three-dimensional building model; wherein the dynamic SDF data comprises a plurality of dynamic SDF values, the dynamic SDF values are SDF values from a space point in a dynamic influence area to the surface of a dynamic component used for generating the dynamic influence area, and the dynamic influence area is obtained after the boundary of a minimum three-dimensional bounding box of the dynamic component is expanded outwards by a first preset distance; and detecting whether a collision point exists in the three-dimensional building model based on the static SDF data and the dynamic SDF data.

The invention relates to the technical field of image processing, and discloses a house quality detection method and system based on a live-action three-dimensional model. The method comprises the following steps: converting an OSGB format live-action three-dimensional building model into a body coordinate system and carrying out quality evaluation, carrying out semantic segmentation on a standardized model to obtain a component geographic entity set, establishing an independent local coordinate system of each component to form a single three-dimensional model set, generating a multi-view projection feature image set based on a normal vector distribution planning view angle, and carrying out multi-view projection on the single three-dimensional model set. And detecting defects by adopting a 3D-YOLO-BuildingDefect algorithm, and carrying out inverse transformation to obtain three-dimensional space defect distribution and a quality grade evaluation result. The technical problems that a traditional two-dimensional detection method is insufficient in spatial positioning precision, incomplete in detection coverage rate and insufficient in geometric information utilization are solved, and the spatial positioning accuracy of house quality detection and the comprehensiveness of defect recognition are improved.

The invention belongs to the technical field of environmental risk assessment, and particularly discloses a BIM-based fabricated steel structure assembly scheme comparison and selection method and system, and the method comprises the steps: building a three-dimensional building model based on BIM software, and extracting component information and GIS data; establishing national and local standard libraries, matching applicable standards through building positioning information, and generating parameterized assembly rules; generating a plurality of assembly type combination schemes according to rules and component logic, and interactively binding with the BIM model; calculating an assembly rate and a standard score of each scheme, and screening candidate schemes meeting structural safety and a cost threshold value; and constructing an incremental cost library, completing cost difference analysis of the candidate schemes, and outputting an optimal assembly type steel structure combination scheme. And data driving and automatic comparison and selection in the whole process are supported, the method can be applied to prefabricated building scheme design and optimization links, and the design efficiency and the scheme economy are improved.

The invention relates to the technical field of building three-dimensional modeling, and provides an ALS point cloud facade geometry-based LLO3-level-tending building three-dimensional model automatic reconstruction method, which comprises the steps of 1, building point cloud segmentation and bottom contour construction: segmenting a roof and facade area from an ALS point cloud, and constructing a bottom contour; automatically extracting the bottom contour of the actually grounded building through the vertical projection of the facade point cloud; step 2, door and window contour extraction based on facade geometry: projecting the facade point cloud into a two-dimensional image, identifying a door and window opening by using an Alpha Shape construction and geometry-semantic detection method, and extracting a door and window contour; and step 3, building a three-dimensional building model with enhanced facade details: inputting the bottom contour and the door and window contour into a modeling frame, and automatically embedding door and window components through polygonal surface patch combination and Boolean operation to generate a building model with a complete structure and semantic details. According to the method, the three-dimensional model of the building tending to the LOD3 level can be better and automatically reconstructed based on the ALS point cloud.

The invention discloses an air-ground combined post-disaster building three-dimensional structure damage fine detection method, and belongs to the technical field of post-disaster emergency building damage assessment, and the method comprises the steps: collecting an air-ground image of a post-disaster building, and carrying out the preprocessing; registration and fusion are carried out by combining fast point feature histogram (FPFH) features and point clouds of iterative closest points (ICP); carrying out data enhancement by using the CT-3DGAN; and carrying out fine segmentation on the three-dimensional damage of the building based on CD-PointNet + +. On the basis of ground and aviation data, an improved iterative closest point ICP algorithm is provided to ensure high-precision registration, especially in a scene with large point cloud noise and low overlapping rate; according to the CT-3DGAN model, three-dimensional convolution and three-dimensional Transform are integrated in a generative adversarial network GAN framework, a three-dimensional building damage data set is expanded, representativeness is enhanced, and training of a deep learning model is promoted; a CD-PointNet + + model effectively identifies complex three-dimensional damage features, and accurate segmentation of building facade and roof damage after disasters is achieved.

The invention discloses a regional prevention and control layout planning method and system for a three-dimensional space, and belongs to the technical field of security and protection facility layout. In order to solve the problem that security and protection facilities are difficult to efficiently deploy in a complex three-dimensional environment, the method mainly adopts H3 grid division and kernel density estimation to generate a regional thermodynamic diagram, combines a three-dimensional building model and sight projection to carry out visibility analysis, constructs a dual-objective optimization function, and realizes optimal deployment scheme search through a multi-objective evolutionary algorithm. According to the invention, high-heat coverage, shielding avoidance and equipment cost control of a key area can be realized, and scientificity and efficiency of monitoring deployment in a three-dimensional environment are improved.

The invention relates to the technical field of urban building energy consumption calculation, in particular to an urban building energy consumption calculation method and device based on local weather data, and the method comprises the steps: obtaining local built environment information data of a local climate region, and calculating local weather data through the local built environment information data; the two-dimensional building boundary vector graph in the local climate area is converted into a three-dimensional building model, and an urban building energy consumption model with building prototype information is constructed based on building functions and years; and distributing the local weather data to a subdivided local climate grid corresponding to the urban building energy consumption model to calculate the urban building energy consumption of the building group. Therefore, the problem that the calculation efficiency and precision of the urban building energy consumption cannot be effectively guaranteed due to the fact that the resolution ratio of a local weather grid cannot be freely defined, the local built environment cannot be subdivided, and the difference of different local climate heat island effects cannot be represented in the prior art is solved.

The invention discloses a construction and transfer real object digital transfer method and system based on graph model data and identification codes, and relates to the technical field of engineering management, and the method comprises the steps: obtaining initial graph model data, generating an initial real object transfer list based on a project decomposition structure, generating a real object checking task, and generating real object identification codes bound with a positioning chip in batches, and receiving task processing data, updating the obtained approved real object transfer list, the approved graphic model data and the real object association information, and generating a space identification code bound with the space region. Through identity binding of the identification code, association of the visual two-dimensional base map and the three-dimensional building information model and dynamic updating of the transfer list of the mobile terminal, the technical problems of non-standard physical data, low cross-department efficiency, inconsistency of building drawings, models and on-site physical objects and the like caused by a traditional inventory mode are solved; according to the invention, digital transfer of physical assets from construction to operation is realized, and the technical effects of checking efficiency, data quality and transfer credibility are improved.

An example method performed by a processing system includes obtaining a light detecting and ranging point cloud of a building, where the point cloud includes a plurality of points, and where each point is associated with a set of (x,y,z) coordinates. A first point of the plurality of points is assigned to a subset of the plurality of points that is associated with the building, where the subset includes points whose (x,y) coordinates fall within a footprint of the building. The first point is grouped into a first cluster according to at least one of: a (z) coordinate of the first point and a gradient to which the first point belongs. A first prism formed by the first cluster is constructed. A model of the building is stored as a plurality of connected prisms, where the plurality of connected prisms includes the first prism.

The invention discloses a method, device and equipment for generating a building model expansion view and a storage medium, and the method comprises the steps: responding to a drawing instruction, and drawing a sectioning path in a non-linear state on a preset view surface of a three-dimensional building model; the three-dimensional building model is sectioned along the sectioning path according to a preset sectioning direction, and a three-dimensional sectioning plane, corresponding to the sectioning path, of the three-dimensional building model is obtained; straightening the sectioning path to obtain a reference linear direction, and expanding the three-dimensional sectioning plane along the reference linear direction to obtain a two-dimensional expanded view of the three-dimensional sectioning plane; according to the method, splicing of multiple views is not needed, and the plane expansion view corresponding to the sectioning path drawn based on the three-dimensional building model is efficiently and accurately generated.

The application relates to a kind of city building agent reconstruction methods based on aerial image.The method comprises: obtaining the multi-view image corresponding to target building;Multi-view image includes near vertical view image and inclined view image;According to near vertical view image, the bottom contour of target building is determined;Determine the first depth difference between each pixel point in inclined view image;According to the camera pose parameter of multi-view image and the current predicted height of target building, rendering is carried out, and the rendering depth map of target building under the current predicted height is obtained;With the distance between the second depth difference of each pixel point in the rendering depth map and the first depth difference as the optimization target, the current predicted height is optimized, and according to the bottom contour and target measurement height, the three-dimensional building model corresponding to target building is constructed.Using the method can improve the efficiency and accuracy of city building agent reconstruction.

The embodiment of the invention discloses a method and device for determining material consumption and waste output of a foundation pit supporting beam, and the method comprises the steps: opening or creating a three-dimensional building information model comprising a foundation pit model and a supporting member model in target building model software; obtaining three-dimensional model information, supporting beam related parameters, foundation pit elements and supporting component elements from the three-dimensional building information model, and determining a generation range of a foundation pit supporting beam; determining modeling positioning information of the supporting beams based on the generation range of the foundation pit supporting beams and the setting spacing of the supporting beams; generating a supporting beam model within the generation range of the foundation pit supporting beam based on the modeling positioning information of the supporting beam, the supporting beam size parameters and the supporting beam reinforcement information; and determining the concrete consumption, the steel bar quality and the waste generation amount based on the support beam model and the reinforcement information. According to the embodiment of the invention, the concrete consumption, the steel bar quality and the waste generation amount of the foundation pit supporting beam can be accurately determined.

The application discloses a three-dimensional building sky surface extraction method and device, a terminal and a medium. The method comprises the following steps: extracting a single building body according to a building base surface through a dense three-dimensional building grid, removing three types of noise, refining an original building body surface set, detecting a sky surface set of each building body surface set by using a layered vertical probe detection method, judging an abnormal condition by using Mesh directional compression auxiliary comparison sky surface data, correcting the abnormal condition, and finally outputting the sky surface data set. Therefore, the embodiment of the application can produce sky surface data in a building dense environment in batches, support village-in-city management data construction in a real three-dimensional construction background, and achieve high balance in automation degree, data production accuracy and data processing volume. Through the collection of the sky surface data, effective management of the village-in-city buildings is realized, illegal construction is prevented, and the urban landscape is improved.

The invention provides an allergy risk prediction method and device based on indoor physical environment simulation and electronic equipment, and relates to the technical field of medical health data analysis, and the method comprises the steps: constructing a parameterized three-dimensional building model based on spatial information; based on the three-dimensional building model and the external meteorological parameters, coupled physical field simulation is carried out on sunlight, natural lighting and natural ventilation conditions in the target building space, and quantitative environment field distribution data is obtained; matching and fusing the environment field distribution data with a preset risk mapping rule based on allergen breeding physical conditions, identifying and dividing different levels of environment risk areas in the target building space, and generating a visual risk distribution map with space coordinates; and generating a personalized report containing a targeted environment intervention strategy bound with the spatial position based on the specific risk area position and the grade thereof in the risk distribution map. According to the method, quantitative environment data support is provided, and health suggestions are upgraded from experience judgment to data decision.

The invention discloses a three-dimensional building view generation method and a three-dimensional building view generation device. The generation method comprises the following steps: determining an initial two-dimensional view of a building of a to-be-generated three-dimensional building view; determining a three-dimensional building model of the building based on the determined initial two-dimensional view; determining a first three-dimensional view of at least one first target view angle based on the determined three-dimensional building model; and for the first three-dimensional view of each first target view angle, determining a final effect picture based on the exclusive style constraint information and the geometric constraint information. Therefore, the design efficiency of the building scheme is improved, and the homogenization tendency of the design scheme is relieved.

The invention relates to the technical field of drawing recognition, in particular to an architectural drawing element intelligent recognition and labeling method based on graphic feature extraction, comprising: acquiring an architectural drawing file to be processed, the architectural drawing file to be processed comprising a two-dimensional CAD drawing and a three-dimensional building information model drawing; format analysis is conducted on the to-be-processed building drawing file, graph geometric data and layer description information are extracted, the graph geometric data comprise point coordinates, line coordinates and plane coordinates forming a building graph, and the layer description information comprises name information and layer priority information of building drawing layers; and building a building drawing feature database according to the graphic geometric data and the layer description information. According to the method, through deep fusion analysis of the graphic geometric data and the layer description information, and through the structured drawing feature database and the feature fusion module, various elements in the architectural drawing can be accurately identified and labeled, and the accuracy of drawing labeling can be effectively improved through the accurate identification.

The invention belongs to the technical field of digital urban and rural and built-up environment simulation, and provides a method for constructing and analyzing a regional urban and rural built-up environment by fusing multi-source data, and the method comprises the steps: obtaining a plane grid base map based on a selected region, and vectorizing the plane grid base map to obtain a two-dimensional building vector diagram; calculating and obtaining a building height base map based on DEM and DSM data, and establishing a three-dimensional building model by using the two-dimensional building vector diagram and the building height base map; a three-dimensional terrain model is obtained based on DEM data, and the three-dimensional building model and the three-dimensional terrain model are combined to form a built environment digital twinborn model of the selected area; and carrying out multi-physics field simulation analysis on the built environment digital twinborn model, realizing multi-physics field coupling simulation by combining a turbulence model, a radiation model and the like, analyzing a simulation result, and displaying analysis data in a visual form. According to the method, multi-source data are efficiently fused, the spatial scale of regional large-scale simulation research is expanded, and multi-physics field coupling analysis and quantitative analysis of a built environment are realized.

The present invention discloses a method for rapid three-dimensional modeling of mountain settlements based on a topographic map. The method comprises: obtaining a topographic map and extracting elevation point data, first building surface data, and building annotation data therefrom; generating an irregular triangulated network (TIN) and a digital elevation model (DEM) using the elevation point data; extracting building base elevation information from the DEM and integrating it into the first building surface data to obtain integrated second building surface data; extracting building height information from the building annotation data and integrating it into the second building surface data to obtain integrated third building surface data; performing three-dimensional stretching on the third building surface data based on the base elevation and building height information to generate a three-dimensional building surface; converting the three-dimensional building surface into a building three-dimensional model in an exchange format; and importing the irregular triangulated network and the building three-dimensional model into modeling software to generate a settlement three-dimensional model. The present invention can integrate terrain elevation, building graphics, and building height information in a topographic map, and achieve rapid and refined three-dimensional modeling of mountain settlements through parameterized three-dimensional stretching.

A method for automatic panel design and fabrication includes receiving a two-dimensional or three-dimensional architectural plan for a building, converting the architectural plan into a first data file that contains information about a location, length, and style of each wall included in the architectural plan, obtaining, from the first data file, a list of walls to automatically generate a second data file that contains a list of panels to be constructed for each of the list of walls, and generating a set of commands for each of panels in the list and transmitting the set of commands to a robotic builder, to allow the robotic builder to automatically build each of the panels in the list.

The invention provides an urban photovoltaic potential assessment method and system based on land utilization, and relates to the technical field of photovoltaic potential assessment. The method comprises the following steps: constructing an urban three-dimensional building model based on multi-source data; performing solar radiation simulation on the urban three-dimensional building model through light environment simulation software, calculating space-time solar radiation distribution of the urban building roof under the condition of considering the shielding effect of surrounding buildings, and obtaining a space-time solar radiation distribution diagram of the urban building roof; obtaining a city land utilization property current situation map based on the AOI data of the city; and obtaining the photovoltaic potential of the urban building roof according to the urban land utilization property current situation map and the space-time solar radiation distribution map of the urban building roof. According to the method, the influence of the total area of the building roof and the shielding effect of surrounding buildings on solar radiation of the building roof and the influence of the structural characteristic difference of the building body on the available coefficient of the building roof are fully considered, and the accuracy of the photovoltaic potential evaluation result of the urban-scale building roof is improved.

The invention discloses a three-dimensional-based component label automatic generation method and device and a medium, belongs to the technical field of three-dimensional views, and aims to solve the technical problems that in an existing heating and ventilation three-dimensional view, the manual label efficiency is low, labels are prone to overlapping and confusion, and the readability and construction accuracy of drawings are affected. The method comprises the following steps: performing view frame selection processing on a three-dimensional building component to obtain a locked three-dimensional component view; carrying out keyword identification and character labeling processing of related component family categories on the three-dimensional component view to obtain initial component labeling information; performing labeling area limitation on a single three-dimensional building component in the three-dimensional component view to obtain a to-be-labeled view area; performing local optimal scoring processing on the labeling position in the target labeling division area to obtain a local optimal labeling position; and performing related global annotation optimal position control on each local optimal annotation position in the three-dimensional building component to obtain final annotation content position information.

The application discloses a kind of processing method, device, equipment and medium of three-dimensional building model.The method comprises the following steps: obtaining two-dimensional building drawing, and importing the two-dimensional building drawing into three-dimensional engine platform to generate three-dimensional scene graph;Using the original drawing scale of the two-dimensional building drawing, according to the position information of electromechanical equipment, the electromechanical equipment is added to three-dimensional scene graph to obtain the three-dimensional position of electromechanical equipment, and according to the three-dimensional position of the electromechanical equipment and the three-dimensional scene graph, the original drawing scale is checked;The model of electromechanical equipment is constructed in the three-dimensional scene graph to obtain three-dimensional building model;Based on the three-dimensional building model, the attribute information of the electromechanical equipment is determined, and the attribute information at least includes spatial attribute.The embodiment of the application can automatically map the electromechanical equipment in two-dimensional building drawing to three-dimensional building model, improve the generation efficiency of model, greatly reduce artificial cost.

The invention belongs to the technical field of building detection, and particularly relates to an outer wall crack detection and evaluation system and method based on three-dimensional modeling, the system comprises an unmanned aerial vehicle and a ground base station, and the bottom surface of the unmanned aerial vehicle is provided with a shell; an infrared thermal imager, a laser radar and a camera are arranged in the shell; the ground base station comprises a signal receiving module, an algorithm module and a display module; an outer wall three-dimensional model is generated through the algorithm module, the crack position is marked, then the unmanned aerial vehicle carries the camera to the position close to the outer wall, the positioning blocks extend out of the wings of the unmanned aerial vehicle, the positioning blocks can protect the unmanned aerial vehicle, the wings of the unmanned aerial vehicle are prevented from colliding with the outer wall, and images shot by the camera can be transmitted to the display module again. And comparing with the depth, the width and the trend of the crack on the three-dimensional building model, if errors exist, taking the shot picture as the criterion, and improving the accuracy of outer wall crack detection through data comparison.

The invention discloses a building engineering quality intelligent monitoring method and system based on image processing, and relates to the technical field of intelligent identification, and the method mainly comprises the steps: collecting image data of each block space of building engineering from multiple angles, and constructing a block type three-dimensional space; on the basis of image point cloud matching, local detail images collected on site are fused with the corresponding block type three-dimensional space; constructing a block type three-dimensional building model in a lightweight manner, and rendering a building organization structure according to the observation distance and angle; performing improved ellipse detection processing on the original positioning point feature set of the block type three-dimensional building model to generate a target center sub-pixel coordinate; and according to the target center sub-pixel coordinates, the installation deviation of each block of the current building engineering is corrected in real time, and the precision, high efficiency and intelligence of construction quality monitoring are realized.

The invention discloses an urban building reconstruction method and device, electronic equipment and a storage medium, which are used for solving the technical problems of high data acquisition cost, high operation cost, limited application range and low efficiency during urban building reconstruction in the prior art. The method comprises the following steps: acquiring an urban aerial image, and extracting an outer contour feature map and an inner ridge line feature map containing all buildings in the image from the urban aerial image; performing feature line vectorization based on node simplification and direction rule optimization according to the outer contour feature graph and the inner ridge line feature graph to obtain a plurality of outer contour line segments and a plurality of inner ridge line segments; according to the plurality of outer contour line segments and the plurality of inner ridge line segments, performing inner and outer contour line combination based on a single building, and obtaining a two-dimensional region segmentation map of each building; and for each building, generating a three-dimensional building model corresponding to the two-dimensional region segmentation map in combination with the digital surface model and the planar projection.

A system and method is provided for constructing a labeled and dimensioned multidimensional (e.g., 3D) building model from building object imagery (e.g., ground-level imagery). The method begins by retrieve building object imagery, the building object imagery collected based on directed capture with a mobile device. The method continues by constructing a scaled multi-dimensional building model, the scale based on sizing of at least one selected architectural feature. The method continues by identifying architectural elements within facades of the multi-dimensional building model. The method continues by determining dimensions of at least one of the architectural elements, the dimensions based on the scale. The method continues by determining dimensions (e.g., area) of at least one of the architectural elements. The method continues by labeling each identified architectural element with at least an identifier and by labeling at least one of the architectural elements with the determined dimensions.

The invention relates to the technical field of building recognition, and discloses an appearance damage recognition method and device for a building facade, and the method comprises the steps: constructing a target long-shot building model according to a target long-shot image of a target building, and carrying out the close fusion with a three-dimensional building space in the recognition process of an appearance damage region of the facade of the target building, thereby achieving the recognition of the appearance damage region of the facade of the target building. Further, on the basis of extracting the polygonal contour of the target building and the elevation information of the target building in combination with a target long-range building model, generating a close-range aerial photography planning path of the target building according to the coordinate information of the polygonal contour of the target building and the elevation information of the target building, and collecting a target close-range image of the target building; and finally, the appearance damage area of the target building facade is identified. Therefore, the appearance damage identification method of the building facade is beneficial to enhancing the accuracy of the identification of the appearance damage area of the target building facade, and then is beneficial to the subsequent accurate maintenance of the appearance damage area.

The application discloses a three-dimensional cadastral survey result checking method, and relates to the technical field of data processing. The method comprises the following steps: inputting a preset three-dimensional building model and a preset three-dimensional land parcel model into a preset three-dimensional GIS topological analysis engine to perform spatial relationship judgment, determining a land parcel falling detection result based on a spatial relationship judgment result and a right ownership detection result; determining an out-of-bound distance between a building and a land parcel and an overlapping volume between the building and a neighboring building based on a preset spatial conflict quantification model, and determining a building falling detection result according to the out-of-bound distance, the overlapping volume and a planning detection result; and obtaining a target checking result according to the land parcel falling detection result, the building falling detection result and a building number falling detection result, so that the accuracy of cadastral survey result detection can be improved.

This invention relates to the field of intelligent building construction technology, specifically disclosing an intelligent generation system for modular scaffolding erection schemes. The system includes an engineering geometric parameter analysis device, a wind field dynamic simulation device, a physical information neural network prediction device, a wind-resistant reinforcement zone generation device, and a real-time meteorological data access device. By integrating computational fluid dynamics with a neural network embedded with physical constraints, based on a three-dimensional building model and real-time meteorological data, it dynamically predicts wind-induced vibration risks and automatically generates wind-resistant reinforcement schemes conforming to the modular rules of scaffolding. By employing the above technical solution, this invention enables high-precision wind vibration early warning and intelligent optimization of scaffolding systems in extreme environments such as super high-rise buildings or cross-sea structures, improving their inherent safety level and construction feasibility.