58 results about "Three dimensional architecture" patented technology

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 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 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 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 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 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.

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.

The invention discloses a three-dimensional building model checking method and device, equipment and a storage medium. Comprising the following steps: constructing a three-dimensional building model, and determining a to-be-checked floor from the three-dimensional building model; determining an error object from the to-be-checked floor, and determining a target equipment type and a target error type corresponding to the error object; and processing the error object according to the target equipment type and the target error type. By dividing the checking range according to the floors, cross-floor chaos of the checking work is avoided, the checking boundary is clear, and the pertinence and orderliness of the checking work are improved. Through determining the target equipment type and the target error type, a clear basis is provided for subsequent targeted error processing, and processing deviation caused by fuzzy problem definition is reduced. According to the method, adaptive processing modes can be adopted for different types of equipment and different error forms, blind unification of the processing methods is avoided, the error processing accuracy and efficiency are improved, and the model problem is rapidly corrected.

The invention belongs to the technical field of three-dimensional geographic information data decryption, and provides an urban three-dimensional building model decryption method and device, electronic equipment and a storage medium, and the method comprises the steps: aligning first DEM data of a to-be-decrypted region and first urban three-dimensional building model data, and carrying out the preprocessing, obtaining second DEM data and second urban three-dimensional building model data; constructing and training the second DEM data to obtain a GAN generative adversarial network, and encrypting the second DEM data through the GAN generative adversarial network to obtain third DEM data; performing detail enhancement on the third DEM data by adopting a content generation algorithm to obtain fourth DEM data; and performing decryption processing on the second urban three-dimensional building model data through the fourth DEM data to obtain a decryption result. The method has the beneficial effect that the data availability during confidentiality of the three-dimensional city model is improved.

Automated three-dimensional (3D) building model estimation is disclosed that predicts roof top outlines, pitches and heights based on imagery and 3D data. In an embodiment, a method comprises: obtaining an aerial image of a building based on an input address; obtaining three-dimensional (3D) data containing the building based on the input address; pre-processing the aerial image and 3D data; reconstructing a 3D building model from the pre-processed image and 3D data, the reconstructing including: predicting, using instance segmentation, a mask for each roof component of the building; predicting, using a first machine learning model with the mask as input, an outline for each roof component; predicting, using a second machine learning mode with the mask and outline as input, a pitch and height of each roof component; and rendering the 3D building model based on the predicted outline, pitch and height of each roof component.

This invention relates to the field of building structure optimization design technology, and discloses a method for energy-saving optimization design of prefabricated tower buildings. The method establishes a discrete feature database containing component cross-sections and semi-rigid node parameters; performs topology reduction analysis, eliminating redundant elements based on sensitivity coefficients and verifying connectivity to generate a skeleton model; performs stiffness and internal force co-calculation, constructing a semi-rigid element stiffness matrix using modified shape function coefficients, and bi-directionally matching component cross-sections and node stiffness according to the dominant internal force mode of the components; calculates the structural assembly entropy, constructs an objective function containing the total structural mass and assembly entropy, and uses simulated annealing algorithm for iterative optimization; finally, based on the optimization results, it outputs a bill of materials and a three-dimensional building information model containing detailed node construction parameters. This invention achieves simultaneous optimization of structural lightweighting and component standardization through the coordinated adjustment of node stiffness and component cross-sections and assembly entropy constraints.

In an artificial intelligence (AI)-based method for generating a building block in a commercial district, geographic information data of a target district and surrounding districts is acquired to construct a three-dimensional space sand table, then design conditions in various planning files and local legal regulations are translated and extracted to generate a three-dimensional building block of the district, and then a training sample library of three-dimensional contour lines of the district is constructed, a machine learning model is loaded to generate three-dimensional building heights of the district and optimize building forms, to generate a plurality of schemes for the building block of the district, and finally simulated display of the schemes and display of scheme indexes are performed by using a holographic display device, and the schemes are outputted.

This application discloses an integrated-three-dimensional design platform and method for the carbon reduction effect of buildings in cities, relating to the field of integrated and three-dimensional design of buildings and cities. The platform includes a building and city spatial data acquisition and preprocessing module that collects building spatial data of the target city, performs preprocessing and 3D rendering on the data to obtain a 3D building data layer; a 3D rendering and display module that performs 3D rendering on the building spatial data; a design technology application type selection and control module that updates building attribute data in real time based on attribute adjustment commands; and a design technology effectiveness evaluation and output module that displays the real-time changes in basic attributes and carbon indicators before and after the application of design technologies, and renders the building layer. This application provides a scientific basis for urban planning and sustainable development by analyzing the spatial environmental vector characteristics of integrated and three-dimensional design methods for buildings and cities and the spatial environmental impact of integrated applications.

The application relates to the technical field of building engineering safety monitoring, in particular to a deep foundation pit support stress monitoring method and system based on BIM (Building Information Modeling), which comprises a multi-source sensing acquisition module, a communication module and a processing terminal, the processing terminal is provided with a BIM model management module, a coupling analysis module, an intelligent early warning module and a visual interaction module, the coupling analysis module is taken as a core, a dynamic mapping relationship between sensor data and BIM components is established, real-time monitoring data is directly injected into a model attribute set, and a built-in structural mechanics calculation engine is driven to carry out real-time stress simulation. The three-dimensional building information model is changed from a static display platform into a digital twin body which can be autonomously updated, and the structure safety state can be dynamically reconstructed according to real-time data. Meanwhile, the intelligent early warning module actively judges based on simulation results and preset hierarchical early warning rules, so that the BIM system has real-time safety evaluation and early warning driving capabilities.

The invention belongs to the technical field of building three-dimensional reconstruction, and particularly relates to a building three-dimensional reconstruction method based on an unmanned aerial vehicle-mounted through-the-wall radar, and the method specifically comprises the steps: setting a reflection power coefficient function according to the non-vertical echo influence, and building a multi-layer wall radar echo model based on the reflection power coefficient function; calculating an azimuth-distance two-dimensional matrix under the condition of considering non-vertical echoes by using the echo model, and obtaining a BP imaging model based on angle weighting according to the two-dimensional matrix; generating an echo model in a set three-dimensional building layout scene, performing imaging by using the BP imaging model, and taking a real wall structure in the scene as a label to obtain a training data set; performing neural network training by using the training data set; echo signals collected by the unmanned aerial vehicle through-the-wall radar are input into the trained neural network, and three-dimensional reconstruction of the building structure is achieved.

This invention relates to the field of 3D modeling technology, specifically to a method and system for constructing 3D urban buildings for visualization. The method includes the following steps: extracting component outline coordinates, identifying directional changes to generate configuration groups, determining vertical relationships to generate structural chains, identifying repetitive features to construct style codes, extracting similar building relationships to generate meshes, and identifying facade boundaries to establish texture mapping relationship groups. In this invention, by extracting building outline nodes and boundary features, structured shape information is constructed, improving geometric analysis accuracy. Overlay chains are established based on the vertical arrangement relationship and spatial scale of components, achieving automatic restoration of structural levels. Repetitive pattern recognition and style classification enhance style recognition capabilities and batch assignment efficiency. Combined with spatial distribution relationships, regional structural expression is optimized. Facade partitions and attachment boundaries are extracted, and texture correspondence is established, improving facade visual consistency and expression accuracy. The overall process enhances modeling accuracy, structural logic, and result reusability.

The invention discloses an electrical conduit pre-embedding positioning method based on a BIM model, and relates to the technical field of building data processing, and the method comprises the steps: starting from a building construction drawing, constructing a three-dimensional building information model, selecting a base angle as a project coordinate origin, and building a three-dimensional coordinate system matched with an actual scene; then, extracting electrical conduit information in the model, mapping the electrical conduit information into three-dimensional vector data, and generating a conduit pre-buried path; identifying a path conflicting with the structural member through geometric conflict analysis, and adjusting the direction of the conduit according to a structural member surface normal vector of a conflict point to generate corrected three-dimensional vector data; and finally, the corrected path is converted into a construction positioning instruction containing information such as a construction starting point coordinate, an end point coordinate and a pre-embedded length, and the positioning instruction is stored by using a block chain technology, so that the integrity and traceability of data are ensured, accurate guidance is provided for construction operation, and the construction quality is ensured.

This application relates to a parametric generation method and system for the three-dimensional spatial form of urban buildings, belonging to the field of urban planning technology. The method includes: inputting a target spatial range and building layout parameters; generating building layout areas using a polygon segmentation algorithm; obtaining the two-dimensional base surface of the building to be generated using a maximum inscribed rectangle and orientation algorithm; obtaining building spacing buffers using a buffer algorithm; S5, obtaining the available remaining spatial range using a nine-intersection model algorithm; S6, repeatedly iterating the remaining spatial range to generate a set of all two-dimensional base surfaces of the buildings; performing three-dimensional extrusion on each surface of the set to generate a primary building model at LOD1 level; generating the three-dimensional geometry of the roof of each primary building model to obtain a building model at LOD2 level; applying textures and materials to the building model to obtain a building model at LOD3 level; and exporting the building model into a general three-dimensional model format. This application, through parameter-driven and intelligent iteration, can quickly generate three-dimensional building layouts and models that meet the requirements of the latest planning regulations.

The application discloses a kind of real scene three-dimensional building model data multistage LOD generation method, it is related to three-dimensional model light weight technical field, comprising the following steps: S1: according to the level of building model and the lightweight degree of visual condition, establish multistage LOD respectively as LOD0, LOD1, LOD2, LOD3, define the grading standard of each LOD;S2: according to the OSGB data of building model, using the method based on object to extract the vector surface of target building, namely LOD0;S3: based on the vector surface data of building model, in combination with the building elevation data contained in OSGB, the method of the application is more highly automated, more simple operation, both can reduce the volume of three-dimensional model data, can also maintain the basic structure of model under different LOD levels, can complete the conversion between building models under limited data, construct different dimensions three-dimensional building model monomer, and apply it to different levels and scene, meet the needs of city space analysis and management.