1198 results about "Building design" patented technology

A BIM-based prefabricated building design system and a simulated assembly method. The system comprises: a data collection module, a BIM modeling module, a drawing generation module, a component processing module, an assembly module, and a verification module; the data collection module is used for collecting data information of a prefabricated building; the BIM modeling module constructs a BIM model of the prefabricated building according to the data information; the drawing generation module is used for outputting a building component drawing according to the BIM model; the component machining module is used for performing machining and manufacturing according to the building component drawing; the assembly module is used for performing assembly path planning for a manufactured building component, and performing assembly on the basis of a planned path; and the inspection module is used for performing inspection on an assembled building. The present invention implements integration of prefabricated building design and implements prefabricated building installation intelligence, allowing assembly to be accurately completed.

The invention relates to a building design scheme multi-objective optimization comparison and selection method and device, equipment and a medium. The method comprises the steps of generating a multi-dimensional design parameter set by obtaining building information model data and parameterized design data; performing multi-dimensional target analysis and evaluation by using a multi-field joint simulation platform to generate a multi-dimensional evaluation index; a dynamic multi-objective optimization model is constructed through a dynamic weight adaptive algorithm in combination with project stage demands and user interaction data; carrying out iterative optimization by adopting an improved non-dominated sorting genetic algorithm to obtain an optimized design scheme gene sequence result, and introducing a spatial topology connectivity constraint to generate a Pareto optimal solution set; and according to the Pareto optimal solution set, generating an optimization scheme through user weight adjustment and scheme screening. According to the method, the optimal design scheme set meeting the project requirements can be quickly and efficiently generated and screened out, the project stage requirements and user preferences are met, and the design efficiency and the scheme quality are improved.

The invention provides a knowledge-driven underground building design scheme intelligent review method, system and equipment. The method comprises the following steps: identifying a target facility type of a review object, a to-be-reviewed element and a corresponding review material type in a to-be-reviewed underground building design scheme; according to the target facility type, matching a rule structured text entry and an experience structured text entry from the knowledge base of the corresponding facility type; loading a corresponding review material from the application material according to the type of the review material; if the to-be-examined elements relate to the text type examination materials, calling an examination reasoning large model to extract index information corresponding to the to-be-examined elements; if the to-be-examined elements relate to the drawing type examination materials, calling a drawing identification enhanced multi-modal large model to extract index information corresponding to the to-be-examined elements; the extracted index information and the recalled knowledge entries are integrated to construct a cue word template, intelligent review and reasoning are performed on the index information according to the cue word template through a review and reasoning large model, and a review report is output, so that the review efficiency is improved.

The invention relates to the technical field of building design and digitization, and discloses an automatic design method for a special-shaped facing structure based on parametric modeling. The method comprises the following steps: firstly, acquiring a geometrical characteristic parameter set of the special-shaped facing structure, wherein the geometrical characteristic parameter set comprises curved surface curvature distribution, boundary constraint conditions and a material attribute threshold value; thirdly, according to the curved surface curvature distribution, generating an initial geometric topological grid by using a dynamic subdivision algorithm, adjusting node positions according to boundary constraint conditions to obtain an optimized structural framework, and performing layered mapping on material attribute thresholds to generate a material distribution map; then, the input parametric modeling engine generates a three-dimensional parametric model, finally, a self-adaptive adjustment strategy graph is constructed through a multi-objective optimization algorithm, and a final design scheme is output. By means of the method, automation of design of the special-shaped facing structure is achieved, design efficiency and accuracy are improved, material utilization is optimized, scheme adaptability is enhanced, and design process collaboration is improved.

The invention discloses a BIM model structure design review method and system based on a large model, and relates to the technical field of building information modeling, and the method comprises the steps: carrying out BIM model data preprocessing based on an AI large model; adopting an AI large model built-in rule engine to perform structural design specification review on the BIM model, and automatically generating a review report based on a natural language processing technology; bIM model collision detection is executed based on a deep learning algorithm, potential structure conflicts are identified, error points are displayed in combination with three-dimensional visualization, and adjustment suggestions are provided according to historical data and an optimization algorithm. According to the method, the data quality and consistency are improved, key information in the BIM model is clearer and more concise, the accuracy of the review process is improved, potential problems in the structural design process can be found and processed in time, the overall intelligent level of the BIM model is improved, and the building design process is more accurate, intelligent and efficient.

A prefabricated building design and construction integrated collaborative method based on component parameter library, which belongs to a field of prefabricated building design and construction technology, comprising: constructing a BIM parameter system for a prefabricated building and its prefabricated components, and establishing a component parameter library of the prefabricated components of the prefabricated building based on the BIM parameter system. By forming the component parameter library through the BIM parameter system of the prefabricated building and its prefabricated components, architects are provided with accurate information that meets the subsequent construction requirements and the construction requirements of various disciplines in schematic design and detailed design, and guided to apply BIM and select appropriate prefabricated components for design, so as to increase depth of first design, and improve accuracy for design optimization. Therefore, prefabricated building design and construction integrated collaboration is promoted.

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 provides an automatic building design scene generation method and system based on artificial intelligence. According to the method, a geometric feature parameter library and a spatial topological relation parameter library of a special-shaped component are integrated, an artificial intelligence optimization engine is used for carrying out conjoint analysis, and a building scene dynamic form constraint map is created. The process comprises the following steps: acquiring three-dimensional data of a construction site by using laser point cloud scanning, and extracting real-time curvature gradient parameters and functional region connection node parameters from the three-dimensional data; and then matching verification is carried out on the parameters and corresponding threshold values and conditions in the dynamic form constraint map, so that a building scene self-adaptive correction parameter set is generated. And finally, building component processing track control points are adjusted based on the parameter set, and a construction instruction containing spatial form and functional topology linkage is formed. According to the technical scheme provided by the invention, the efficiency and flexibility of building design scene automatic generation can be improved.

The invention relates to the field of building design, and discloses a building design project intelligent evaluation method and system based on multi-dimensional indexes, and the method comprises the following steps: S1, collecting building design data from multiple sources; s2, preprocessing the collected various data; s3, constructing a multi-dimensional evaluation system, and generating a comprehensive evaluation result; s4, adjusting the weight of each evaluation dimension; s5, generating a comprehensive evaluation report; the system comprises a data acquisition module, a data preprocessing module, an evaluation system construction module, a reinforcement learning adjustment module, a real-time feedback mechanism module, a comprehensive evaluation report generation module and a data fusion module. According to the method, data fusion is carried out through a multi-dimensional index evaluation system and in combination with a deep learning algorithm, comprehensive and accurate evaluation of the building design project is achieved, and compared with a technical scheme of general single-dimensional evaluation in the prior art, the problem that part of important factors are ignored during evaluation in the traditional technology is solved.

The invention relates to the technical field of architectural design drawing recognition, in particular to an architectural drawing multi-dimensional defect feature extraction and automatic prompting method and system. The method comprises the following steps: preprocessing collected architectural design drawing data; carrying out primitive recognition and semantic tag extraction on the preprocessed drawing based on deep learning; carrying out multi-dimensional defect feature modeling based on the semantic tags identified and extracted by the primitives; defect identification and intelligent prompting are carried out based on the modeled defect features; and generating a defect report. According to the method, full-dimensional automatic identification and accurate prompt of building design drawing defects are realized, the limitation of traditional manual examination on efficiency and coverage range is broken through, dominant problems such as geometry, layers and annotation can be quickly positioned, hidden defects such as standard conflicts and semantic contradictions can be deeply mined, and the comprehensiveness of drawing quality control is improved.

The invention discloses a green building microclimate regulation emission reduction and convergence increase method based on park biodiversity, and the method comprises the steps: obtaining biodiversity data and building environment parameters, constructing a three-dimensional ecological space digital twinborn model, and carrying out the multi-physics coupling analysis; loading boundary conditions to generate a comprehensive model, then carrying out microclimate dynamic simulation, training an ecological regulation model to generate initial regulation parameters, constructing a multi-objective optimization model in combination with dynamic regulation simulation information and building design parameters to obtain optimal parameters, and finally adjusting a regulation strategy based on real-time prediction. According to the method, by integrating biodiversity and building environment data and utilizing digital twinning, multi-field coupling simulation and intelligent optimization algorithms, collaborative optimization of microclimate adjustment, carbon emission reduction and carbon sink capacity improvement is achieved, a technical scheme is provided for deep fusion of green buildings and ecological systems, and the method is suitable for popularization and application. The method is suitable for the fields of urban building energy conservation and ecological environment protection.

The invention is suitable for the field of constructional engineering, and particularly relates to a historical building ontology modeling system for generative artificial intelligence, and the system comprises a data collection and preprocessing layer which is used for the collection, analysis and standardized storage of historical building construction multi-source data; the attribute graph structure establishment layer is used for establishing a hierarchical semantic model and constructing a historical building construction knowledge graph; the attribute graph structure reasoning layer is used for performing knowledge completion in combination with rule reasoning and data-driven reasoning; and the generative artificial intelligence interaction layer is responsible for generating a semantic tag based on the knowledge graph and driving a stable diffusion model in the GenAI model to generate a pseudo-classic architecture design image and knowledge enhancement feedback. According to the method, the structured knowledge expression model oriented to the historical building construction features is constructed, and the problems that in the historical building heritage digital protection process, digital resources are redundant, and it is difficult to cooperatively couple with the artificial intelligence technology are solved.

The invention provides an automatic evolution method and system for a building design parameterization data driven scheme, and relates to the field of building design, and the method comprises the steps: firstly obtaining a building design parameterization basic data set containing building function requirements, structural safety, spatial layout, environment adaptation and other parameters; the method comprises the following steps: generating an architectural design parameter dynamic constraint model by using a parameter constraint dynamic iterator, generating an initial scheme through a parameterization scheme intelligent evolution model, starting a scheme iteration evolution closed-loop process to obtain an intermediate scheme, and finally screening out a target architectural design evolution scheme and outputting related parameterization process associated data. Automatic and intelligent generation and optimization of the building design scheme are realized.

The invention discloses a VR scene automatic generation method based on a parallel projection design drawing, and the method comprises the following steps: S1, importing a two-dimensional CAD drawing containing building design information, and analyzing a primitive set in the drawing; s2, performing component type identification on the primitives, and establishing a mapping relation between a primitive set and spatial semantics; s3, performing geometric reconstruction based on a mapping relation between the primitive set and spatial semantics, and generating a three-dimensional component model with a unique name identifier; s4, establishing a multi-stage mapping model, and realizing size conversion from a drawing scale to a space coordinate system of the virtual reality system; s5, completing three-dimensional coordinate positioning and automatic assembly according to the multi-stage mapping model, and generating a three-dimensional structure layout of an overall building or park level; and S6, importing the assembled three-dimensional structure layout into a virtual reality rendering engine to generate a virtual reality scene. According to the invention, an automatic, precise and integrated conversion process from a two-dimensional design drawing to a three-dimensional virtual reality scene is realized.

The invention discloses an automatic building design modeling method and system combining LLM and MCP, and a whole-process design management system from user demands to automatic modeling and then to intelligent drawing checking and knowledge updating is constructed through four core mechanisms of'native large model reasoning + local knowledge base constraint + MCP protocol driving + man-machine closed-loop drawing checking '. Compared with a traditional single Revit secondary development framework, the design degree of freedom, the generation accuracy, the operation automation, the continuous optimization capability and the like are remarkably improved.

The invention discloses a pedestrian behavior simulation operation control method based on an unreal engine. Efficient and vivid pedestrian behavior simulation is realized through five core modules: a three-dimensional scene construction module converts a BIM model based on an unreal engine Datasmith plug-in and constructs an interactive dynamic scene; the pedestrian model construction module defines multi-dimensional pedestrian attributes and supports data-driven initial distribution configuration; the hierarchical behavior control module realizes refined regulation and control of pedestrian behaviors through macroscopic path planning, microcosmic behavior decision and emotion driving; the dynamic resource optimization module adopts level-of-detail control and multi-thread task allocation to improve the operation efficiency of the system; and the real-time interaction and data analysis module provides scene regulation and control, data visualization and simulation data recording and playback functions. According to the method, the authenticity, the dynamic response capability and the controllability of pedestrian simulation are remarkably improved, and reliable technical support can be provided for traffic planning, emergency drilling and building design evaluation.

The invention discloses an AI-based building design scene automatic intelligent generation method and system, and relates to the technical field of building design, accurate basic data is provided for subsequent design by constructing a building related data set H, then a three-dimensional space model of an ancient building is generated by using 3D modeling and image recognition technologies, and the three-dimensional space model of the ancient building is obtained. According to the method, the to-be-repaired model area is marked, the recognition accuracy of the to-be-repaired model area is improved, in material suitability analysis, the building repair material is selected according to the material suitability score CL, the material compatibility and the repair effect are ensured, a first ancient building repair design scheme is obtained according to the AI model, meanwhile, finite element analysis is conducted, and the recognition accuracy of the to-be-repaired model area is improved. According to the method, it is ensured that the repaired historic building can bear loads and keep stability, finally, through target function optimization and simulation, an optimal historic building repair design scheme is output, a repair plan is executed, high efficiency and accuracy of the historic building repair process are ensured, and the repair quality of the historic building is improved.

The invention relates to the technical field of computer aided design, in particular to an energy-saving building design method based on digital simulation, which comprises the following steps: analyzing air velocity, temperature gradient, density and pressure distribution based on indoor aerodynamic parameters, identifying air vortex structure characteristics, and generating an energy-saving building environment data set. According to the method, aerodynamic characteristics in a building are accurately recognized, the vortex structure analysis capacity is improved, the air flowing path is optimized, aerodynamic parameters are combined, thermal resistance and heat conduction materials are matched, the building envelope layer is adjusted, heat flow transmission is guided, heat loss is reduced, the heat energy utilization rate is increased, and the spectral characteristics of the materials are adjusted according to illumination redundancy; the lighting efficiency is optimized, the heat load is reduced, outer wall heat transfer is optimized in combination with airflow characteristics, the ventilation rate is dynamically regulated and controlled, airflow short circuit is avoided, heat flow, illumination and ventilation parameters are integrated, precise optimization of building energy consumption is achieved, and the energy efficiency regulation and control level is improved.

The invention discloses an intelligent building design method and system based on artificial intelligence generation content, and relates to the technical field of building information models.By collecting building related data of a city to-be-built area, building a building related data set S, obtaining heat island effect intensity UHI of the city to-be-built area and building a heat island effect intensity prediction model, the building related data set S is obtained; the method comprises the following steps: acquiring the heat island effect intensity UHI (tn) of a to-be-built area of a city at a future time point n, thereby acquiring a heat island effect intensity average change rate # imgabs0 # to evaluate the heat island effect intensity of the to-be-built area of the city, acquiring a plurality of candidate building design schemes according to a GAN (Generative Adversarial Network), screening the building design schemes, outputting a first building design scheme, and outputting a second building design scheme according to the first building design scheme. And a deep reinforcement learning optimization algorithm is used to optimize the building facade, obtain an optimal building design scheme, execute the building engineering, reduce the influence of the urban heat island effect, improve the building energy efficiency and reduce the building energy consumption.

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 provides a building self-correction design method and system based on a big language model, a design experience library and a design rule library are formed by using a BIM model of a historical design scheme and design specifications, and when a new project is designed, the big language model can be used for searching and understanding a historical experience knowledge library, and reasoning ability, so that the design efficiency is improved. Intelligent optimization suggestion is carried out on existing design parameters, the compliance of the suggestion is ensured through retrieval and understanding of a rule base, and finally semi-automatic or automatic correction of building design is achieved.

The invention relates to the technical field of building design, and discloses an Internet-based building design dynamic process management system, which comprises a multi-factor identity verification module, a distributed data storage module, a process dynamic optimization engine, a behavior evaluation and intervention module and an intelligent audit tracking system. According to the building design dynamic process management system based on the Internet, through cooperative work of the process dynamic optimization engine and the behavior evaluation and intervention module, the problem that task optimization of a traditional process management system depends on a preset rule is solved; the flow dynamic optimization engine dynamically adjusts the task priority and resource allocation by using an improved ant colony algorithm based on the real-time task progress and the executor behavior data; meanwhile, the behavior evaluation and intervention module quantitatively evaluates the behavior of the executor according to a weighted scoring model, triggers an automatic intervention process when necessary, and can quickly adapt to sudden changes, so that the resource allocation efficiency is improved, and human errors are reduced.

The invention discloses an outdoor roof rainwater collecting mechanism, and relates to the technical field of building design, and the technical scheme is that the outdoor roof rainwater collecting mechanism comprises a house, filter boxes are symmetrically and fixedly connected to the two sides of the house, filter plates are fixedly connected to the sides, close to the house, of the filter boxes, drainage pipes are fixedly connected to the bottoms of the filter boxes, and adjusting shells are fixedly connected to the two ends of the filter boxes; a second motor is arranged in the adjusting shell, a worm is arranged at the output end of the second motor, and a worm gear is connected to the worm in an engaged mode. The transmission rack can be driven to move by starting the second motor in the adjusting shell, and the piston can be driven to move upwards through movement of the transmission rack, so that shielding of the top of the drainage pipe is relieved; rainwater can enter the drainage pipe, then a first motor is started to drive a telescopic rod to rotate, the telescopic rod rotates to drive a movable baffle arranged at the bottom to rotate, and therefore the bottom of the drainage pipe is opened, and highly-polluted rainwater is drained through the bottom of the drainage pipe.

Methods and apparatus for spatial annotation of design plans in an AI-powered collaborative environment. It includes a controller to receive a static representation of a building's design plan and an AI engine to analyze raster images to identify design elements such as architectural aspects, walls, and rooms. An interactive user interface generates polygons and lines representing these elements, allowing users to select elements for annotation. The apparatus determines positional coordinates of selected elements, links annotations to these coordinates, and updates the interface in real-time for multiple users. Additional features include automated annotation suggestions, user interaction options like commenting and approval, and learning from user interactions to enhance future annotations. The apparatus can detect physical changes in design elements using cameras and update the interface accordingly. It supports dynamic collaboration and enhances the accuracy and efficiency of design plan annotations.

The invention discloses a tropical zone zero-carbon building integrated energy-saving energy production and consumption design and regulation and control system. Comprising a parameterization modeling module used for establishing parameterization models of a building energy-saving subsystem, a capacity subsystem and an energy consumption subsystem; the simulation module is used for simulating energy consumption and carbon emission performance of the building under different parameter combinations; the optimization module is used for executing multi-objective optimization calculation based on the simulation result so as to determine optimal building design parameters and operation parameters meeting a preset carbon emission objective; the control module is used for carrying out coordination control on the energy-saving subsystem, the energy production subsystem and the energy consumption subsystem according to the optimal parameters output by the optimization module; and the monitoring feedback module is used for monitoring real-time energy consumption, capacity and environment data of the building and feeding back the data to the simulation module and the optimization module so as to iteratively update the model and the optimization strategy. The method has the remarkable advantages of energy conservation and emission reduction.

The invention provides a building structure design method and device based on a large language model and multi-level graph characterization, the method is achieved through planning of a building structure design planner, the building structure design planner is obtained based on large language model supervision and fine tuning, and the method comprises the following steps: on the basis of a pre-trained building structure designer, the multi-level graph characterization is carried out; constructing a multi-level map according to the initial building design drawing and the basic parameter information of the building structure design; the building structure designer is constructed based on a large language model, and the multi-level atlas comprises a building contour level atlas, a building space level atlas, a building component level atlas, a potential structure level atlas, a structural component level atlas and a component size level atlas; and obtaining a target building structure design drawing according to the multi-level map. According to the method, the multi-level graph representation of the building design information is combined with the semantic reasoning capability of the large language model, so that the general intelligent design of the building structure is realized, and the design efficiency and the design scheme quality are remarkably improved.

The invention relates to the technical field of building design, in particular to a BIM building model construction method and system.The BIM building model construction method comprises the steps that firstly, based on the plane continuity characteristic of a wall body structure in a building construction environment, rough segmentation is conducted on point cloud through an RANSAC multi-plane fitting algorithm, and a wall area and outer points of a complex structure are preliminarily separated; further, for complex structure areas such as curved surfaces and arc connection areas, model contribution factors are dynamically generated by calculating relative distances and geometric coherence between outer points and a fitting plane, and higher weights are given to point clouds in a high-curvature area; according to the method, the registration process is optimized in combination with the weighted ICP algorithm, and the key structure area is aligned preferentially, so that the damage to the integrity and continuity of a complex structure is reduced, the registered building point cloud data after registration is more accurate, and the accuracy of the BIM model constructed according to the registered building point cloud data is improved.

Provided in the present disclosure is a building model management method. The method comprises: acquiring standardized model information of a target building design model, wherein the target building design model comprises at least one target three-dimensional component, and the standardized model information comprises a standardized component graph of each target three-dimensional component; acquiring a real-scene point cloud model, in a point cloud space, of the current building on a construction site; by means of a preset coordinate conversion matrix, mapping the standardized component graph of each target three-dimensional component to the point cloud space, so as to obtain a component point cloud model corresponding to each target three-dimensional component; and respectively calculating the degrees of coincidence between the component point cloud models of at least some of the target three-dimensional components and the real-scene point cloud model, and using the degree-of-coincidence calculation result as the actual construction progress of the corresponding target three-dimensional component at the current moment.

The invention relates to an intelligent generation method, system and device for a passive design scheme of a green building and a medium. The method comprises the following steps: firstly, collecting site limitation data and climate data, inputting the data into a thermal performance simulation model, and outputting building heat loss and solar heat gain distribution; based on the result, a genetic algorithm is used for optimizing parameters such as the building orientation and the window-wall ratio, and a building design parameter combination is formed through energy consumption calculation, standard judgment and iterative optimization. Then, thermal and economic parameters are extracted from the design parameters to construct a data set, the parameters are screened to generate a building layout optimization instruction, and the layout is adjusted in combination with a dynamic adaptation standard to obtain an optimization scheme. And finally, associating the optimized layout with site parameters, performing energy model optimization to form a low-carbon scheme, and coupling environment adaptability data to generate a sustainable development scheme. By means of the method, the problems that traditional design parameter optimization is low in efficiency and multiple targets are difficult to balance can be solved, layout reasonability and energy consumption control precision are improved, and low carbon of the whole life cycle of the building is assisted.

The invention relates to the field of computational generation of building design schemes, and discloses a building shape computational generation method based on a plane type. According to the method, the basic type of a plane form is preferentially determined, and a proper basic form is selected through style matching or a big data mode, so that the suitability of an architectural style is ensured; then the basic form is adjusted according to external and internal constraint conditions, and the reasonability of the layout is ensured; and finally, obtaining an optimal scheme based on multi-scheme comparison and comprehensive evaluation of multiple indexes, and ensuring relative optimization of the scheme. The method has technical novelty, can give full play to the form search capability of an algorithm tool, generates a building body layout scheme with form suitability, environmental adaptability and function reasonability, and lays a foundation for further deepening design. The method has application value in the aspects of computational generation of a building scheme, development of building design software and the like.