691 results about "Building model" patented technology

The invention relates to the technical field of building engineering, in particular to a building data processing method and system based on multiple building specifications, and the method comprises the steps: building model data standardization processing: extracting geometric attributes, material attributes and spatial topological relations of components through a BIM software interface, and generating model data in a standard format; constructing a multi-source specification rule tree, performing semantic analysis on national standard, local standard and industrial standard provisions, extracting triple constraint conditions, and fusing to generate a unified rule tree containing hierarchical relationships and conflict marks; on the basis of a spatial topology mapping relationship between the model and the rule tree, identifying a specification conflict and generating an optimization rule set according to a specification effectiveness level and a spatial attribute priority; and finally, real-time compliance verification is executed, and a three-dimensional compliance report including conflict positioning, article basis and correction suggestions is output. According to the method, multi-source specifications can be automatically adapted, model violation components are accurately recognized, a correction scheme is given, and the specification compliance and the verification efficiency in the design stage are improved.

The invention relates to the technical field of building information modeling, in particular to a building drawing geometric feature extraction and visual modeling method and system, and the method comprises the steps: carrying out the self-adaptive noise reduction, contrast enhancement and line refinement processing of an original building drawing image, and carrying out the automatic layer separation based on colors and line types; linear geometric features and specific symbol geometric features in the drawing image are extracted, and a geometric feature set is constructed; component instantiation, attribute assignment and topological relation reasoning are carried out by using a predefined building component semantic rule base, and a building component semantic network is generated; and mapping the semantic network to a parameterized three-dimensional modeling engine, calling an IFC standard three-dimensional template, performing parameter driving and automatic assembly, generating a three-dimensional building model with semantic information and a spatial structure, and performing visual output. According to the method, efficient and standardized conversion from a two-dimensional building drawing to a three-dimensional building model can be realized, and the method has the remarkable advantages of processing complex drawings and high-precision modeling.

The invention provides a data optimization processing method and system for edge calculation in architectural design. According to the method, geometric deviation and attribute change characteristics between building design models are obtained, and a version conflict identification graph for marking high-conflict areas is generated through topological relation comparison; deploying an incremental synchronous controller at an edge computing node of a physical layer, dynamically intercepting a high-conflict area association difference data fragment and compressing the high-conflict area association difference data fragment into an incremental data packet; analyzing a dependency topological relation between the models to predict a conflict propagation path; converting the path into a combined operation instruction conforming to a design rule through a collaborative modeling engine; and executing the instruction to integrate the difference, and outputting a conflict-free multi-building design integrated model after the models are fused. According to the method, second-level dynamic resolution and automatic fusion of building model conflicts are realized, the design iteration efficiency is improved, and the construction rework risk is eliminated.

The invention relates to a building refined three-dimensional reconstruction method based on airborne LiDAR point cloud, and belongs to the technical field of three-dimensional modeling. According to the method, high-quality building point cloud data is separated from original airborne LiDAR point cloud data, features and bottom contour lines related to a building are extracted, a roof surface is fitted, and the features and the bottom contour lines are projected to the same horizontal reference surface, so that correlation correction of the features and the bottom contour lines is realized; and completing preliminary reconstruction of a building model by using the corrected building bottom contour line and roof surface, constructing constraint conditions by using priori knowledge, and completing expression of detail components on the model and correction of the reconstructed building roof surface. According to the method, the problems of irregularity, distortion, cavities, difficult facade detail structure expression and the like of the reconstruction model caused by the problems of sparse, missing, cavities and the like of the building facade point cloud data in the prior art are effectively solved, and the problems of irregular edges, distortion, cavities and the like of the constructed building model are solved while efficient, automatic and refined modeling is realized.

The present application relates to a BIM-based hanging basket design method, computer device and computer-readable storage medium, wherein the design method comprises following steps: a parameter acquisition step; a hanging basket modularization step: decomposing structures of hanging baskets into a plurality of design modules; a selection step; a calculation step: calculating parameters of the design modules using a structural mechanics calculation method and / or a finite element calculation method; preliminary BIM model building step: building models of the design modules and a preliminary BIM model of the hanging basket; an optimization iteration step: converting the preliminary BIM model of the hanging basket into a finite element model for calculation, and feeding calculation results back to the preliminary BIM model for structural adjustment, repeatedly performing iterative calculations to obtain optimized hanging basket parameter data; final BIM model acquisition step: the BIM model of the hanging basket adjusted according to the optimized hanging basket parameter data is a final BIM model of the hanging basket. The design method enables autonomous calculation and design of the hanging basket with good versatility.

The invention discloses an intelligent fire-fighting AI collaborative early warning system and method fusing GIS and multi-source data, and relates to the technical field of fire-fighting safety, and the system comprises a GIS space modeling module which is used for constructing a digital twinborn model through integrating a building BIM model, fire-fighting facility distribution, a population density thermodynamic diagram, sensing equipment layout and real-time environment data; the multi-source data fusion module is used for integrating sensing equipment data, real-time environment data, meteorological information, manually reported hidden dangers and a historical fire case library, and outputting the data after standardization processing; the AI collaborative early warning engine module is used for accessing standardized data, realizing building fire dynamic risk assessment and outputting graded warning information; the 3D simulation drilling platform is used for calling the digital twinborn model, receiving graded alarm information and supporting fire spreading simulation, emergency drilling and plan optimization; and the block chain evidence storage module is used for storing alarm information and drill records. According to the invention, risk assessment and accurate prediction of the fire hazard can be realized.

A computer-aided system and associated method for automated building design includes receiving input parameters and generating a three-dimensional parametric computer model of a building frame and populating the three-dimensional computer building model with generic and manufacturer-specific products by accessing internal and external data sources. The populated computer model undergoes real-time simulation to analyze regulatory compliance, verify engineering requirements including load calculations, and evaluate cost considerations. Based on simulation results, the method generates output documents including requests for proposals (RFP documents) for contractors, requests for quotations (RFQs) for vendors, and regulatory compliance documentation. These documents are transmitted to respective stakeholders through a secure data exchange protocol. The method further includes receiving responses to the generated RFP documents / RFQs.

The invention discloses a three-dimensional point cloud building automatic modeling system based on deep learning. The system comprises a point cloud acquisition and input module, a point cloud preprocessing module, a depth feature extraction module, a semantic segmentation and component identification module, a structure parameter analysis module and a parameterized model generation module. According to the invention, through deep fusion of the point cloud deep learning network and the parametric modeling engine, full-process automation of building three-dimensional modeling is realized; the depth feature extraction module is used, so that the recognition accuracy of structures such as doors, windows and roof edges can be effectively improved, the precision of a building model is ensured, and the depth feature extraction module can continuously improve the recognition accuracy along with continuous use of the system; and by using the semantic segmentation and component identification module, the irregularity of the building point cloud, the complexity of the structure and the shielding noise can be identified and distinguished, and the problem that semantic annotation and topological repair need to be manually performed in the prior art is 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.

A method for determining an optimal installation position of an electronic device in an area of a building, the electronic device being configured to monitor and / or serve the area, comprising the following steps: Providing a representation of the building, wherein the area comprises at least one building element; Generating data points arranged in a grid; Labelling each data point with a data point label, the data point label providing information if a respective data point is associated with the at least one building element and, if the data point is associated with the at least one building element, about which kind of building element the data point is associated with; Simulating placements of the at least one electronic device at valid installation positions, thereby determining a monitoring and / or serving coverage of the electronic device; and Outputting the optimal installation position with the highest monitoring and / or serving coverage.

The invention relates to a map data processing method and device based on model reconstruction, equipment and a medium, and the method comprises the steps: generating a building model grid according to map data after the to-be-processed map data is obtained, and enabling the building model grid to represent the geometric shape of a building group; according to the splitting result of the building model grid, constructing a directed bounding box about each independent building; according to a preset segmentation size, segmenting the directed bounding box into a plurality of proxy cubes for model reconstruction; and for each proxy cube, replacing the proxy cube with a target building model according to the neighborhood state of the proxy cube to obtain a model reconstruction result, and generating new map data according to the model reconstruction result. Through the method, the problems of single building model form, serious appearance homogenization and the like in map data can be effectively solved.

The embodiment of the invention discloses a building model rendering method and related equipment. The method comprises the following steps: when a rendering request is received, determining a rendering type of a building model in at least one to-be-rendered frame and a target component needing to be loaded based on the rendering request; screening out visual model data corresponding to the target component in a preset visual database, and identifying component attribute information of the target component in a preset graph database to generate a target rendering parameter; and loading the to-be-rendered frame, and rendering the building model in the to-be-rendered frame based on the rendering type and the target rendering parameter. Through the mode, the visual model data used for entity basic rendering is obtained from the preset visual database, the component attribute information used for entity attribute rendering is obtained from the preset graph database, so that the target rendering parameters are generated, and rendering is completed according to the target rendering parameters. Therefore, the integrity of the data required for rendering is ensured, and the rendering efficiency and the rendering quality are improved.

The invention discloses a digital twinborn simulation prediction method and a related device for electro-thermal conversion equipment of an integrated energy system, and belongs to the field of industrial automation and energy system optimizing.The method comprises the following steps that a modeling basic assumption is completed through the equipment operation condition, actual physical parameters and material physical characteristics of the electro-thermal conversion equipment; model initial conditions and model boundary conditions are introduced, unstable heat conduction modeling is carried out on the temperature of the electro-thermal conversion equipment to obtain a physical model of the electro-thermal conversion equipment, and discretization solving is carried out on the physical model of the electro-thermal conversion equipment to obtain a temperature heat conduction simulation result; designing a loss function, building a model structure, and performing model training based on a temperature heat conduction simulation result to obtain an electrothermal conversion equipment temperature prediction model so as to realize digital twinborn simulation prediction of the electrothermal conversion equipment. According to the method, the problems of poor interpretability of a single data driving model and strong dependency of pure physical mechanism model parameters in temperature modeling of the electrothermal conversion equipment can be solved.

The invention provides a construction progress visualization method and system. The method comprises the following steps: constructing a virtual building model of a construction project; obtaining a plurality of construction areas of the construction project, and constructing a plurality of task consumption areas in the virtual building model based on the plurality of construction areas; generating task particles in the virtual building model in response to distribution of construction tasks of the construction project; based on the quantity-price information of the construction task, generating the work content of task particles; obtaining entry and exit data of the construction site, and visually presenting task particles in the task consumption area based on the entry and exit data; and obtaining work recording information of the construction task, updating the work content of the task particles based on the work recording information, and generating a visual construction progress in the virtual building model based on the change value of the work content. The amount-price information is directly associated through the work content of the task particles, the project progress can be associated with the virtual building model, and a visual basis is provided for cost progress management and control.

The invention discloses an urban low-altitude landing risk assessment method based on three-dimensional space grids, and belongs to the technical field of low-altitude flight risk assessment. The objective of the invention is to solve the problem of accurate assessment of the low-altitude falling risk in a complex city scene. The method comprises the steps of performing three-dimensional rasterization processing on a low-altitude airspace of an evaluation airspace to obtain voxels of the evaluation airspace, and obtaining a voxel set of the evaluation airspace; building shelter formed by population density grids or mobile signaling inversion population, sensitive facility vectors, tree canopy shielding and three-dimensional building models is quantified, values are assigned to voxels of an evaluation airspace, and a voxelization environment parameter database covering the whole domain is obtained; constructing an aircraft failure rate model; carrying out an aircraft falling trajectory uncertainty simulation test to obtain landing coverage probability density distribution and tail end speed of the aircraft; and carrying out voxel risk synthesis by considering the probability of collision with people, and carrying out risk grading on the obtained voxel risk, thereby completing urban low-altitude landing risk assessment based on the three-dimensional space grid.

The invention belongs to the related technical field of waterlogging simulation, and particularly relates to an urban waterlogging simulation device and method based on a digital twin system, and the device comprises the digital twin system, a physical sand table, a sensor, and a microcontroller. The twin system is connected with the physical sand table through a microcontroller and sensors arranged on the physical sand table, and is used for simulating the underground pipe network and surface ponding conditions of the urban target area under the rainfall condition, and regulating and controlling the physical sand table through the microcontroller to realize dynamic verification of the urban inland inundation process; the sensor is used for collecting underground pipe network and surface water accumulation condition data in the physical sand table in real time and transmitting the data back to the twin system, bidirectional interaction and synchronous display of the virtual environment and the physical sand table are achieved, and dynamic simulation and verification of the urban inland inundation process are achieved on the whole. Wherein the twinborn model is composed of a pipe network model, a road model and a building model. According to the invention, real-time mapping and interaction of the physical experiment and the virtual model of the urban drainage system can be realized.

Systems and methods are described for creating three dimensional models of building objects by creating a point cloud from a plurality of input images, defining edges of the building object's surfaces represented by the point cloud, creating simplified geometries of the building object's surfaces and constructing a building model based on the simplified geometries. Input images may include ground, orthographic, or oblique images. The resultant model may be scaled according to correlation with select image types and textured.

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 visual information integration supervision, and particularly discloses a building security-oriented visual information integration supervision system, which comprises a data acquisition module, an exception filtering module, a risk assessment engine module, an alarm triggering module, a visual rendering module, a response execution module and a closed-loop feedback module. According to the method, accurate risk management and control are realized through multi-source data fusion and dynamic analysis, data such as videos, heat values and gas concentrations are acquired, a clean risk feature packet is generated through abnormal filtering, a thermal diffusion trend and an outlet blockage risk degree are predicted by using a thermal conduction model and a building model, and a dynamic safety score is generated through normalization processing. The system automatically triggers multi-level alarms, renders an interactive monitoring graph in combination with a three-dimensional model, optimizes an evacuation path and generates a rescue report, and finally drives equipment response through closed-loop feedback; the security response efficiency and the resource allocation accuracy are improved, and the accident risk of high-rise and closed buildings is reduced.

The invention relates to the technical field of environment monitoring, in particular to a building decoration environment harmful gas dynamic monitoring method based on deep learning, which comprises the following steps: acquiring temperature, humidity, volatile organic compound concentration, carbon dioxide concentration, energy consumption and equipment attitude in a building model coordinate system, and eliminating redundant channels according to spatial topology to form a simplified data stream; dense features are extracted from the simplified data flow through a space-time auto-encoder, query key values are generated through quantification, and adjacent historical features are retrieved and spliced into a fusion feature vector; inputting the fused feature vector and a sensing node coordinate into a physical neural network of an embedded gas diffusion and heat conduction equation, and predicting a temperature gradient and regional carbon equivalent emission; calculating a hazard index field according to prediction, heat flow simulation, construction progress and a material release rate, iteratively optimizing a sensing node set and writing the sensing node set into an environment mirror image body; and reconstructing a coupling field in the environment mirror image body, comparing a measured value to obtain a residual field, and updating a hazard index field and a sensing node set when the environment mirror image body is abnormal.

The invention discloses a curtain wall refined model generation method and system, and relates to the technical field of building model generation, and the method comprises the steps: collecting multi-source heterogeneous data of a target building, generating a curtain wall boundary line according to a building contour line, carrying out the segmentation parameter bidirectional dynamic adjustment and adaptive segmentation spline interpolation of the curtain wall boundary line, and generating a basic curtain wall basic surface; the method comprises the following steps: constructing a basic three-dimensional geometric model, generating an initial lattice surface, constructing a thermal response model by combining the basic three-dimensional geometric model, material characteristic data and thermal response data, obtaining thermal characteristic data of each region, optimizing the lattice surface of the basic three-dimensional geometric model according to the thermal characteristic data, and generating a three-dimensional geometric model. Performing automatic grouping and panel generation operation on the three-dimensional geometric model; and performing multi-modal feature fusion on the three-dimensional geometric model, the thermal feature data and the material feature data to generate a three-dimensional curtain wall refined model, and performing multi-physical field coupling verification on the three-dimensional curtain wall refined model, so that the curtain wall model generation efficiency and precision are remarkably improved.

The invention discloses a real-time ultra-high-definition interactive naked-eye 3D display content synthesis method, which comprises the following steps of S1, firstly, modeling interactive content, such as buildings, mechanical equipment, game scenes and the like, and converting mechanical and building models and the like into a. Fbx format by means of a. Step file format in a unified manner; s2, completing model processing in professional model processing software such as 3DsMax and the like: unifying coordinate axes, and performing surface reduction on the model; and S3, building an interaction scene in the Unity 3D based on the processed model. And S4, for a scene and a model needing to be displayed, generating a virtual parallax camera equivalent to off-axis photography, and controlling the shooting parameters of the parallax camera. And S5, performing hybrid synthesis on the multi-view parallax image based on the texture bitmap, calculating large-scale pixels based on a calculation shader, and shifting a GPU idle time sequence in a Unity 3D script process, and then uniformly entering a rendering assembly line to complete rendering and synthesis of the whole scene. And S6, developing interaction input logic according to different object interaction requirements. The invention provides a calculation three-dimensional display algorithm based on a texture bitmap, ultra-high-definition naked-eye 3D display content can be synthesized in real time under Unity 3D, and a better 3D display effect can be obtained by combining technologies such as equivalent off-axis photography and the like. In addition, the invention also provides a display efficiency optimization method based on a calculation shader, so that the system can run on a lower-configuration host platform, and the problem of higher hardware requirements for real-time ultrahigh-definition naked-eye 3D display content synthesis while the interaction requirements are met is solved.

A construction process support system that enables diverse users to quickly and intuitively create construction model data according to their intentions using natural language input and grid-based positioning. The system comprises hardware processors, software modules, and databases configured to display user interface pages to terminals and control natural language input messages. When input messages contain grid labels that specify coordinates on pages with character codes regarding construction structures, the system requests a Large Language Model (LLM) to generate instruction codes describing construction model data including the grid labels as position information. The LLM generates the requested instruction codes. The system stores the construction model data as searchable data in the database, forwards input messages to chat areas, and renders each structure as three-dimensional data at grid label positions on page canvases.

The invention discloses a waterproof detection method and device based on fluorescence tracing and a storage medium, and relates to the technical field of image processing, and the waterproof detection method based on fluorescence tracing comprises the steps: receiving a field picture frame collected by a detection device, IMU data uploaded by the detection device in real time, and positioning data; according to the IMU data and the positioning data, determining an acquisition coordinate corresponding to the field picture frame; determining a mapping area corresponding to the field picture frame in a building model according to the acquisition coordinate and a detection visual angle parameter of the detection device; determining a crack form and a seepage velocity of the mapping region according to the field picture frame; and rendering the crack in the building model based on the crack form and the seepage velocity. According to the invention, the technical effect of identifying the fine crack by determining the specific position and condition of the crack can be realized.

The invention relates to the technical field of computer vision processing, in particular to an automatic defect positioning method based on a BIM virtual image. The method comprises the following steps: establishing a high-rise building model, and making a data set integrating an illumination condition and a full view angle; calculating camera parameters; performing cross-modal image retrieval: performing targeted optimization on the basis of a classical ResNet architecture, and constructing a backbone network structure suitable for a building image retrieval task; initializing position attitude estimation based on matching; and correcting the camera position posture. According to the method, a defect fixed frame based on a building BIM virtual image is provided, a building image data set BIM-Vision based on Revit is constructed, rich visual angles and illumination condition setting are achieved, accurate camera position postures and 3D labels between beam columns are provided, high-quality basic data support is provided for building visual research, and the method has the advantages of being high in practicability and high in practicability. And during inspection, accurate positioning of defect positions and component association can be completed only by shooting a field image, so that the field operation process is greatly simplified.

The invention relates to a multi-system collaborative building energy-saving reconstruction method, which comprises the following steps of: establishing a Revit model for a building by using modeling software, importing building Revit model data into energy consumption analysis software Energylus through data conversion, and carrying out energy consumption simulation analysis on the building Revit model data; then, energy-saving transformation is conducted on the building from the three aspects of a building envelope, a lighting system and heating and cooling, the energy-saving effect of corresponding measures is analyzed by comparing data obtained through simulation before and after transformation, and data support is provided for energy-saving transformation of the building; an electric equivalent resistance-capacitance network model of the building is further established, the indoor temperature of the building is predicted and controlled, and the control effects and energy consumption saving conditions of the model prediction control method and the PID control method are compared; the method has the advantages of being high in energy-saving control precision and good in energy-saving effect in the whole process of modeling, simulation, transformation and control of building energy-saving transformation.

The invention provides a traffic organization method and system based on urban traffic transfer efficiency evaluation, and the method comprises the steps: building a building model based on a pre-obtained urban traffic building space, setting an initial traffic organization scheme of traffic nodes, simulating the movement behaviors of passengers at each traffic node through a social force model, and carrying out the simulation of the passenger movement behaviors at each traffic node; obtaining passenger flow simulation data; setting an initial weight for the factor set based on the evaluation model to obtain a comment set; and dynamically adjusting the initial weight of the factor set based on the passenger flow simulation data and the evaluation model to obtain the target weight of the factor set, calculating the comprehensive association degree in combination with the comment set, and obtaining the urban traffic transfer efficiency evaluation result according to the comprehensive association degree to adjust the initial traffic organization scheme. And obtaining a target traffic organization scheme to organize urban traffic. According to the method, different passenger flow scenes are simulated to dynamically adjust the weight of the evaluation index, the urban traffic transfer efficiency level under the multi-factor interaction influence is quantified, and the reliability of a traffic organization scheme is 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 a reinforcing steel bar calculation method and system based on a reinforcing steel bar engineering large model, and belongs to the technical field of constructional engineering digitization. The method comprises the steps that engineering drawings or parameter data uploaded by a user are received and subjected to standardization processing, and standardized engineering data are generated; based on the standardized engineering data, extracting reinforcing steel bar feature information, and generating a reinforcing steel bar feature data set; according to the steel bar feature data set, dynamically matching related rules from a preset calculation rule base, converting the related rules into mathematical constraint formulas, and generating a constraint condition set; inputting the steel bar feature data set and the constraint condition set into a pre-trained steel bar engineering large model for processing, and calculating a steel bar engineering amount to obtain an optimized steel bar amount result; and mapping the steel bar quantity optimization result to a three-dimensional building model to generate a visual steel bar distribution diagram. According to the method, steel bar calculation can be conveniently, rapidly and accurately carried out.