1626 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 discloses an intelligent building design generation system based on multi-source heterogeneous data and an AI large model, and the system comprises a multi-source heterogeneous data collection and processing module which is responsible for automatically collecting the multi-source heterogeneous data related to a project, and carrying out the data processing; the knowledge graph module is used for carrying out structured storage and association on multi-source heterogeneous data by constructing a knowledge network covering upper planning, historical culture, architectural design standards and law and regulation contents; the AI large model fine tuning module is used for performing fine tuning on the AI large model by using data in the special architectural design field; the scheme design module is responsible for generating various design schemes, providing choices of different design styles and function layouts and optimizing the schemes; and the visual interaction and feedback module is used for providing an interaction interface with a user. The method is remarkably superior to the prior art in the aspects of design substantial content processing, multi-source heterogeneous data integration, design generation and optimization, user interaction experience and the like, and a more comprehensive, intelligent and efficient solution is provided for building design.

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 energy saving, in particular to a building energy-saving management system and method based on the Internet of Things. The method comprises the following steps: acquiring a target architectural design drawing; building structure feature point recognition is carried out on the target building design drawing, three-dimensional space point cloud modeling is carried out, and a building three-dimensional structure model is constructed; building environment illumination parameters and personnel flow monitoring parameters are collected based on multiple sensor nodes; environment light intensity space distribution analysis is carried out on the building environment illumination parameters, then dynamic light intensity distribution rendering is carried out, and an environment light intensity distribution rendering model is constructed; and according to the building three-dimensional structure model, carrying out regional use scene analysis on the environment light intensity distribution rendering model, and carrying out optimal time sequence illumination demand fitting so as to construct an optimal illumination demand time sequence curve of each region. The energy consumption utilization rate of the building is increased, and accurate equipment regulation and control are achieved.

The invention relates to the technical field of building information modeling (BIM), in particular to a three-dimensional modeling method and system of a high-altitude curtain wall, multispectral data, structured light scanning data and thermal imaging data are collected through an unmanned aerial vehicle, the data are subjected to multidimensional analysis and fusion, three-dimensional modeling is performed through a multi-modal feature fusion algorithm, and the three-dimensional modeling method and system of the high-altitude curtain wall are obtained. And carrying out global and local geometric correction, material feature optimization and thermal feature correction on the model by utilizing a dynamic feedback and recursive optimization mechanism. And finally, generating high-precision three-dimensional model data through a multi-channel fusion algorithm. The method effectively solves the problems of insufficient geometric precision, limited material processing and neglect of thermal characteristics in the prior art, remarkably improves the precision and reality of the model, and is suitable for the fields of building design, structural analysis, energy consumption evaluation and the like.

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 relates to the technical field of engineering project management, in particular to an engineering project construction quality management method and system, and the method comprises the following steps: extracting multiple items of design information of a target building based on project construction drawing information, and simulating and analyzing the stress distribution of a building structure under multiple loads through building a building information model. And evaluating the stability of the target building design, identifying and marking design defects, and obtaining a simulation analysis result. According to the method, by extracting the design information, constructing the building information model, evaluating the stability of building design, recognizing the design problem in the early stage, calculating the actual solidification rate of concrete and detecting the concrete quality, reworking and overhigh cost caused by the concrete quality problem are reduced, and defects in prefabricated parts are detected through ultrasonic waves; the construction safety and quality are improved, the construction deviation is quantified through measurement of an actual construction image and comparative analysis of the actual construction image and a design drawing, and efficient management of the construction quality of a target project is achieved.

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 provides a potential diffusion model-based building planning image generation method and system. The method comprises the steps of data preprocessing, potential diffusion model structure improvement, input condition optimization, model training, image generation and the like. The relevance between text description and architectural styles is enhanced by preprocessing data sets of architectural design images and urban planning images and introducing channel crossing and space crossing attention mechanisms. Meanwhile, an architectural style embedding vector, an architectural description text embedding vector and a geometric information embedding vector are combined as additional input conditions to ensure that the generated image contains complete information. In a model training process, a multi-scale strategy and depth separable convolution are adopted, so that the recognition capability and training efficiency of the model to a large scene are improved. The system comprises a data preprocessing module, a model optimization module, a model training module, an image generation module and the like, and can generate a high-resolution building image conforming to design specifications. The method and system can be widely applied to the fields of building design and urban planning, and design efficiency and accuracy are 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 provides a building external sunshade dynamic photo-thermal regulation and control optimization method and system based on joint simulation, and relates to the technical field of building design, and the method comprises the steps: building a building model, and setting building operation parameters; constructing an external shading calculation model of the building; simulating and calculating energy consumption intensity, sunlight utilization indexes and glare probabilities under different external sunshade regulation and control thresholds according to historical meteorological data on the basis of the constructed building model and the external sunshade calculation model; and performing multi-objective optimization on the obtained energy consumption intensity, sunlight utilization index and glare probability under different external sunshade regulation and control thresholds, and determining an optimal external sunshade regulation and control threshold. The optimal external sunshade opening threshold value can be screened, and the user experience 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.

An apparatus and method for determining and solving design problems is illustrated herein. Apparatus includes a processor and a database of components by manufacturer. The processor is configured to receive a representative part model which may include 2D prints and 3D models of a building design. The processor is configured to identify and categorize the representative part model to a design problem and generate design solutions to solve the design problem. The processor is also configured to encode layers of required information for a first machine-learning module. The processor determines components from the database of components, as a function of the design solution.

Methods and apparatus are provided for automated analysis of airflow objectives in architectural design plans using artificial intelligence (AI). A controller evaluates design plans, such as floor plans or architectural drawings, to identify, classify, and assess the placement, type, and configuration of airflow components, including air supply and exhaust vents, ducts, and HVAC systems. The controller examines these components against relevant building deployment objectives and preferred practices, evaluating spatial relationships, airflow patterns, and system configurations. When non-compliance is detected, the system generates automated suggestions for design revisions and optimizations, in order to facilitate adherence to building deployment objectives and functional efficiency before construction begins. The apparatus includes interactive tools for real-time simulation and collaboration, allowing designers, architects, and others to make informed adjustments to the design to achieve optimal airflow management and compliance with building deployment objectives.

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.

A structural building design system for processing, interpreting and analysing holistically a multipage set of two-dimensional (2D) real-world building construction plans for a building and yielding near real time accurate material type, quantity, and specification outputs as required for construction of a compliant building from said plans, through computationally generating a mathematical feature vector space dataset, the system comprising: one or more processors configured to: receive a two-dimensional real-world architectural plan for construction of a structural building, wherein the two-dimensional real-world architectural plan includes objects comprising: architectural symbols, lines, shading, or text; perform pre-processing, of characteristics on or associated with the objects on the two dimensional real-world architectural plan on a pixel by pixel basis for measurement or adjacent multi-pixel basis for object detection, wherein the pre-processing comprises two or more of: object detection and recognition, semantic segmentation, or text recognition to identify a plurality of objects, on the two dimensional real-world architectural plan to identify the characteristic features thereof; computationally transforming at least one characteristic feature of known (learned) and unknown (unlearned) detected objects into a mathematical representation thereof to form part of a future vector space dataset; and wherein said transformations for learned and unlearned detected objects have both high level and low level classifications of identified characteristic features; performing a comparison of the future feature vector space dataset for the identified detected objects to confirm the detected objects meet a predetermined confidence threshold for the classification of each detected object; performing a correlation analysis of the characteristic features for detected objects meeting the pre-determined confidence threshold level, wherein the comparison and correlation analyses above include one or more of determining shape, position, adjacent objects and using said pre-processing and results of correlation analysis of the feature vector space dataset via the algorithms to provide output information regarding the 2D plan including producing autonomous, and highly accurate creation of at least one or more of the following outputs: near real time accurate building takeoffs; complete construction estimates; complete construction detailing; detailed bill of materials for the construction of the building; or a document summarizing differences or similarities between building plans.

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 a prefabricated building component quality monitoring method, and relates to the technical field of buildings, and the method comprises the steps: interactively obtaining target building design data; obtaining a target building model; calling networking data according to the target building position to obtain multiple pieces of load environment information; obtaining a plurality of load condition models; m building areas identified by adopting the stage assembly task sequence are obtained; m component mass constraint libraries are obtained; and dynamically calling the M component quality constraint libraries according to the stage assembly task sequence to carry out quality monitoring in the production process of the assembly type building component. The technical problems that in existing building component quality monitoring, real-time monitoring is difficult to conduct at all assembly nodes, the quality problem is difficult to find in time, environment changes cannot be dynamically adapted, and then the real-time performance and accuracy of the result of building component quality monitoring are insufficient, and the environment adaptability is poor are solved. The technical effect of improving the accuracy, timeliness and construction flexibility of building component quality monitoring is achieved.

The invention relates to the technical field of building information models, in particular to a BIM-based fabricated building collaborative design method and system, and the method comprises the following steps: based on project personnel information, analyzing role positioning and responsibility ranges of a plurality of designers, adjusting the editing authority of the designers, matching task demands, and according to input design information, carrying out the collaborative design of a fabricated building; and identifying the various types of building elements and matching the labeling information, and generating the labeling information of the building elements. According to the method, by analyzing role positioning and responsibility ranges of multiple designers, allocating design editing permissions, improving the accuracy and efficiency of project management, analyzing building design and carrying out conflict detection on building elements, design errors are reduced, and by combining structural stability analysis, problems are foreseen and solved in the early stage of design, and the design efficiency is improved. According to the method, modification in the construction stage is avoided, project budget is effectively controlled through construction sequence planning, resource demand prediction and cost calculation, and the collaboration of building design and construction is improved.

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 a green low-carbon building simulation analysis method based on a three-dimensional model, and the method comprises the steps: 1, carrying out the pre-analysis, constructing a BIM model of an initial building design, obtaining the surrounding environment information of a building, and inputting the information into building simulation software; 2, environment simulation and design analysis are carried out, building design is optimized, and a first design stage is formed; forming a second construction stage; monitoring the energy consumption of the building in real time to form a third operation stage; step 3, simulation optimization; 4, simulating and analyzing data mining; and a fifth step of information sharing and assistance. According to the method, design decision and optimization are assisted through simulated beforehand analysis and simulation, so that energy consumption and carbon emission of the building in each life cycle are reduced, the green performance of the building is improved, efficient and accurate energy consumption evaluation and optimization of a building design scheme are achieved, and generation of a low-carbon and energy-saving building scheme is effectively promoted.

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.