1261 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 discloses a building operation and maintenance management method and system based on big data, and relates to the technical field of building intellectualization, and the method comprises the steps: collecting multi-source heterogeneous data, executing data standardization processing, and generating a standard data stream; constructing a virtual building model based on a digital twinning technology, mapping the standard data stream to a corresponding device node of the virtual building model, and generating a device feature matrix; inputting the equipment characteristic matrix into a deep learning network, training to generate an energy consumption prediction model, and outputting an energy consumption prediction sequence; a multilayer perceptron health scoring model is constructed based on the energy consumption prediction sequence, and a fault early warning priority list is generated in combination with an equipment weight coefficient; and automatically generating a maintenance work order according to the fault early warning priority list. Through the maintenance effect evaluation and secondary maintenance mechanism, a complete closed-loop management process is formed, the maintenance quality is ensured, the maintenance strategy is continuously optimized, and the overall operation and maintenance management level is improved.

The invention relates to the technical field of building model design, in particular to a building three-dimensional model lightweight design method and system based on artificial intelligence, and the method comprises the steps: extracting geometric-semantic features of a building model through a multi-scale curvature filtering and semantic segmentation network, constructing a fusion feature vector matrix, and obtaining a fusion feature vector matrix; by utilizing an integrated graph convolutional network and a self-adaptive neural simplification network of a double-branch attention mechanism, differential resampling is executed based on vertex importance weight, a simplified intermediate model is generated, a surface microstructure is recovered by means of a generative adversarial network, grid holes are corrected by combining Delou inner triangulation, and a surface microstructure is obtained. A non-uniform rational B-spline curved surface is adopted to reconstruct a key decoration component and output a lightweight model, so that the problems of insufficient geometric feature retention and semantic information splitting in the traditional technology are solved, intelligent, efficient and lightweight of a building three-dimensional model is realized, visual fidelity is ensured while data compression is performed, and the construction quality is improved. And the digital management requirement of the whole life cycle of the building is met.

The invention discloses an intelligent building energy-saving management method and system based on a digital twinning technology, and relates to the field of digital twinning technologies, and the method comprises the steps: building a three-dimensional building model based on a building information model and three-dimensional laser scanning point cloud data, and generating a twinning database through multi-source equipment data fusion; performing energy consumption simulation modeling according to the lamp dimming parameters, the air conditioner performance curve and the elevator operation log in the twin database to generate an energy consumption reference report; acquiring personnel density and environment parameters, and generating a building environment state matrix mapped with the twin database after space-time calibration; and establishing a hierarchical threshold value control strategy library based on the building energy consumption reference report and the building environment state matrix, and generating an optimization control strategy set through the equipment linkage relation matrix. According to the method, by embedding a Pareto optimal solution screening mechanism and equipment mutual exclusion rule verification, the daily average energy consumption is reduced on the premise that the comfort reaching rate of the optimal control parameter packet is ensured.

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 discloses a rapid construction method and system for a three-dimensional space model of a multi-level building, and relates to the field of building model construction, and the method comprises the following operation steps: S1, constructing a dynamic demand-oriented detail level model; s2, automatic component modeling based on image segmentation; s3, performing multi-version difference judgment and model updating; and S4, cloud collaboration and load optimization. According to the method and the system for quickly constructing the three-dimensional space model of the multilevel building, the region is dynamically divided through the semantic weight, so that the rendering efficiency during model construction can be effectively improved, the memory can be effectively reduced during rendering, the visual fidelity can be optimized, key curvature characteristics can be forcibly reserved for a high semantic weight region, and the construction efficiency is improved. Based on this, deformation distortion caused by simplification can be avoided, a visible area in the model can be automatically identified, an invisible area can be degraded, only the contour line frame of the building is reserved, and the overall memory occupation can be greatly reduced.

The invention provides a building measurement method and system based on an intelligent robot, and relates to the technical field of intelligent robots, and the method comprises the steps: deploying the intelligent robot to a to-be-measured building area; determining a final driving path of the intelligent robot according to the layout of the to-be-detected building area; the intelligent robot automatically runs along the final running path, and acquires three-dimensional point cloud data, image information and geographic position information of the building environment by using an internal sensor assembly; and processing the three-dimensional point cloud data, the image information and the geographic position information of the building environment, including point cloud splicing, denoising, registration and surface reconstruction, to generate a three-dimensional model of the building. By automatically collecting and processing data, the building three-dimensional model and the detailed measurement report are efficiently generated, the measurement precision and efficiency are improved, and the labor cost is reduced.

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 the technical field of intelligent building management, in particular to an intelligent building operation and maintenance management system and method based on a BIM platform. The method comprises the following steps: performing equipment connection topology network construction according to acquired target BIM building model data, and generating equipment physical connection topology data; performing automatic logic conflict elimination on the equipment physical connection topological data to generate equipment connection topological data; performing fault influence link analysis on the equipment connection topological data to generate fault propagation link data; performing fault severity evaluation on the fault propagation link data to generate equipment fault severity data; and performing intelligent operation and maintenance path planning according to the equipment fault severity data to obtain intelligent equipment operation and maintenance path data. Through fine division of the operation and maintenance equipment management space and analysis of the equipment fault propagation link, intelligent scheduling of the fault operation and maintenance task is realized, and the operation and maintenance efficiency and the resource allocation precision are remarkably improved.

The invention relates to the technical field of energy consumption simulation, in particular to a simulation method and system based on BIM building energy consumption, and the method comprises the following steps: importing structural data in a BIM building model, recording the actual sizes and material characteristic information of building walls, windows and floors, and generating a building structure parameter table through parameter extraction and data integration. According to the method, the BIM technology and the energy consumption simulation process are utilized, the accuracy of building energy consumption prediction and the practicability of operation are remarkably improved, the building structure parameter table is constructed, the thermal bridge effect is deeply analyzed, so that thermal performance data are more accurate, dynamic adjustment of actual climate change parameters is provided in thermal load simulation, the simulation adaptability is improved, and the simulation efficiency is improved. According to the method, the consistency of an energy consumption prediction result and an actual climate condition is ensured, the simulation precision and practicability are ensured through continuous matching and iterative optimization of actual data and a simulation result, powerful data support is provided for energy efficiency management and optimization, an energy-saving target is helped to be achieved, and the environmental performance of a building is optimized.

The invention discloses a fabricated building construction scheduling optimization platform based on BIM, and belongs to the field of construction scheduling optimization, and the platform comprises the steps: interacting construction project work orders, carrying out the three-dimensional simulation, and constructing a building BIM model; constructing a space topological graph sequence by taking construction period stage division and assembly space partitioning as a reference; supervising and training a construction scheduling module based on a building BIM model and a spatial topological graph; basic construction information is identified, a resource balance function based on a resource fluctuation degree is introduced, dynamic simulation evolution and multi-space synchronous scheduling decision optimization are carried out in combination with a construction scheduling module, a construction scheduling strategy is determined, and project construction scheduling is carried out. The technical problem that in the prior art, prefabricated building construction scheduling lacks intelligent and dynamic optimization capacity is solved, and the technical effect of improving the intelligent level and optimization efficiency of prefabricated building construction scheduling is achieved through mapping of the BIM technology and the topological graph in combination with resource balancing and multi-space synchronization strategy optimization.

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 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 relates to the technical field of building models, in particular to a building model processing method and system and a medium. The method comprises the following steps: acquiring initial image data of a high-rise structure through an aircraft, and synchronously recording motion state data; calculating a jitter characteristic parameter according to the initial image data and the motion state data; establishing a jitter compensation mechanism of the long-distance image based on the jitter characteristic parameters; processing the initial image data by using a jitter compensation mechanism to obtain stable image data; extracting structural feature point information in the stable image data; establishing a high-rise structure reference coordinate system according to the structural feature point information; and performing high-precision registration on pre-acquired multi-angle image data of the high-rise structure and the reference coordinate system of the high-rise structure to obtain registered image data. According to the invention, by analyzing the jitter characteristics of different frequency bands, a multi-level jitter compensation mechanism is established, and the stability problem during long-distance image acquisition is effectively solved.

The invention relates to the technical field of building information modeling, and discloses a parameterized BIM modeling method, which comprises the following steps: step 1, acquiring specific design parameters of a modeling object in a project design requirement, marking key geometric parameters of the object, including length, width, height, volume and material characteristics, and defining units, physical meanings and application ranges of the parameters in a marking process, a basis is provided for subsequent entity model construction; and 2, based on the geometric parameters marked in the step 1, a solid model is constructed through a BIM modeling tool, and the solid model is a visual model with the shape, the size and the position determined through the geometric parameters in a three-dimensional space. The three-dimensional BIM model is dynamically generated and modified by modifying geometric parameters, model construction is more flexible and efficient due to introduction of parameterization logic, automatic adjustment and rapid iteration of the model are achieved, and the reusability of BIM modeling and the design efficiency of the building model are remarkably improved.

The invention belongs to the technical field of natural language processing, and particularly relates to a text sentiment classification method integrated with a novel adversarial strategy and enhanced feature extraction, which comprises the following steps of: carrying out preprocessing and word segmentation operation on a text; constructing a model; the embedding learning layer obtains word embedding vectors of a text through BERT and BiLSTM; the enhanced feature extraction layer performs weighted fusion on a local attention mechanism and a TextCNN model; the classification layer performs emotion polarity classification according to the extracted feature vectors to obtain a final classification result; and carrying out data enhancement by adopting a large-batch adversarial training strategy. According to the method, a local attention mechanism and TextCNN weighting are combined, and emotion features of different granularities in a text are fully mined. The local attention mechanism can identify key information in a text and endow the key information with a higher weight, and the TextCNN can capture local features and a context dependency relationship, so that compared with an existing method, the method has more advantages in the aspect of feature extraction, and text representation with more semantic representativeness is generated.

The invention relates to the technical field of building information models, in particular to a BIM building model generation processing optimization method and system, and the method comprises the following steps: based on a to-be-modeled target building, adjusting the scanning precision level of a differentiated part according to the importance and structural complexity of the differentiated part of the building, changing the resolution parameter of a three-dimensional scanning device, and generating a BIM building model; and controlling the three-dimensional scanning equipment to scan the building to obtain basic three-dimensional scanning data. According to the invention, the resolution parameter of the three-dimensional scanning equipment is dynamically adjusted according to the structural complexity and importance of the building, the scanning process is effectively optimized, the three-dimensional scanning is more accurately focused on a key structure part, the quality and correlation of data acquisition are improved, and the accuracy of data acquisition is improved by contrastive analysis with a field picture and structural feature extraction. Structural errors can be found and corrected in time, accuracy and practicability of the model are ensured, detail levels of the model are automatically adjusted according to parameters set by a user, and use of computing resources is optimized.

The invention provides a quick physical examination method for a brick-concrete building structure based on multi-modal tight coupling SLAM, and the method comprises the steps: introducing a laser residual error, a visual residual error, a thermal image residual error and an IMU (Inertial Measurement Unit) pre-integration residual error into a factor graph, and constructing a real-time positioning and mapping frame which can still achieve high precision and stronger robustness in a weak illumination and texture missing scene. In the mapping process, the system synchronously operates crack width and temperature difference double-threshold identification and wall slope rate evaluation, and risk identification and marking of dangerous cracks and inclined walls are completed in real time. According to the method, a three-dimensional building model with a semantic standard is generated, an integrated closed-loop process integrating'multi-modal perception, high-precision mapping, crack and inclination risk judgment and instant output early warning 'is formed, and the high-timeliness and high-precision structural examination requirements of'risk judgment by scanning' on old brick-concrete buildings are met. The method is suitable for scenes such as city updating, dangerous building general survey and rural self-built house structure safety monitoring, and the efficiency and reliability of building rapid screening are remarkably improved.

A search engine for providing intelligent or conversational responses to user queries into a digital building portfolio are disclosed. In embodiments, a search engine receives a user query and query context. The query and query context are processed and used to search into a vector database and knowledge graph database that are generated from data in the digital building portfolio. The results of the search are used to retrieve relevant data from the digital building portfolio, which are then summarized and used to generate an appropriate response. Other embodiments may be described and / or claimed.

The invention provides a dynamic construction carbon emission visualization method and system based on numerical simulation, and belongs to the field of carbon emission calculation. The method aims at solving the problems that an existing method cannot conduct visual display of construction carbon emission and cannot reflect the internal relation between dynamic carbon emission and the construction process. Firstly, a process analysis method and an input-output analysis method are used for accurately metering dynamic construction carbon emission, then carbon emission positioning is carried out according to a carbon footprint theory, then space-time correlation between construction carbon emission and a building model is achieved through a numerical simulation method, and finally the dynamic visualization target of construction carbon emission is achieved. According to the method, the construction process is regarded as the product production process, dynamic construction carbon emission metering is achieved by counting all resource investment of a project and final building composition, the relation between spatial and temporal distribution and internal composition of carbon emission can be simply, meticulously and visually displayed, and the construction carbon emission generation process is reduced to the maximum extent.

The invention discloses an automatic building energy consumption modeling method based on a large language model, and the method comprises the steps: obtaining a natural language demand description inputted by a user side, and carrying out the domain semantic analysis of the demand description based on a natural language model, and extracting a modeling parameter; the demand description comprises architectural space attributes; the modeling parameters are input into a building large language model, and a standardized modeling instruction set meeting the grammar specification of the target building energy consumption simulation engine is generated; wherein the building large language model is obtained by finely adjusting a pre-trained large language model through a professional question and answer corpus in the building field; an interface of the target building energy consumption simulation engine is called, a simulation instruction is generated, and the simulation instruction is used for indicating the target building energy consumption simulation engine to output a simulation result based on the standardized modeling instruction set; the simulation result comprises the building model file and a key index of the building model file. By adopting the method, the automation degree of building modeling can be improved, manual intervention is reduced, and the modeling threshold is lowered.

The invention relates to a building engineering progress intelligent monitoring method. According to the method, a building space is divided into area units for fine management, a progress deviation analysis result is generated in combination with a construction plan and field data collected in real time, a deviation value is dynamically mapped to a three-dimensional building model to realize visual monitoring, and meanwhile, resource allocation data is associated to perform spatial clustering and optimization adjustment, so that the construction efficiency is improved. The problem that in a traditional method, progress monitoring and resource allocation are disjointed in the spatial dimension is solved, accurate correlation analysis and closed-loop optimization of the progress and resource dynamics of the constructional engineering are achieved, and the real-time performance and decision-making scientificity of construction management are remarkably improved.

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 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 discloses a data processing system and method for three-dimensional real estate surveying and mapping, and relates to the technical field of intelligent surveying and mapping, and the system comprises a multi-source data fusion module, a model generation module, a spatial relationship analysis module, an efficient rendering module and a data security module. The multi-source data fusion module converts the original surveying and mapping data in different formats into a unified three-dimensional point cloud data set; the model generation module generates a parameterized three-dimensional building model based on the point cloud data; the spatial relation analysis module constructs a relation graph of the building model and generates a surveying and mapping index report; the efficient rendering module processes large-scale three-dimensional data and generates an interactive three-dimensional scene; and the data security module controls the data access authority and generates an operation log. According to the method, the processing efficiency and precision of the three-dimensional real estate surveying and mapping data are improved, efficient analysis and visualization of large-scale three-dimensional data are realized, the security of sensitive data is ensured, and advanced technical support is provided for modern city planning, real estate management and real estate development.

The invention belongs to the technical field of building three-dimensional modeling, and particularly relates to a building model construction method based on unmanned aerial vehicle low-altitude image dense matching point clouds, and the method comprises the steps: taking the original point cloud data of a building as the input, carrying out the classification according to the geometric features of a solid building, and obtaining the point cloud data representing each plane of the building; and complementing the missing plane structure to establish a candidate plane set. And classifying the candidate plane set according to the affiliation relationship of the single building to obtain point cloud data representing the single building so as to realize building modeling. In the modeling process, a point cloud representing a single building is divided into a roof and a wall, the top of the wall and the bottom of the roof are complemented, modeling of the wall with the complemented top is achieved through a Manhattan model, and modeling of the roof with the complemented bottom is achieved through an intersection plane selection method. And splicing the building wall body model and the roof model to obtain a model of a single building with an inclined roof. In conclusion, the building model construction method improves the expression precision and accuracy.

The invention relates to the technical field of building information modeling, in particular to a historical building model construction method and system based on BIM, and the method comprises the following steps: obtaining building component surface spectral reflectivity data, setting a detection range, extracting spectral features, integrating to form time sequence data, and obtaining component spectral feature parameters. According to the invention, through the detailed analysis of the spectral reflectivity, the scheme accurately evaluates the aging of the component, avoids subjective judgment errors, improves the accuracy, finely quantifies the aging process by using the mean square error and curve fitting technology, reduces the evaluation errors, comprehensively evaluates the stability of the building and optimizes the safety prediction of the structure by combining dynamic mechanical analysis and incorporating environmental factors. The component matching precision is improved through geometric adaptation analysis, errors are reduced, the reconstruction effect is optimized, the geometric and mechanical accuracy of a building model is enhanced, and the practicability and reliability of the model are improved through systematic data integration.

The invention relates to the field of unmanned aerial vehicle surveying and mapping and building three-dimensional modeling, and discloses a high-rise building three-dimensional modeling surveying and mapping method based on unmanned aerial vehicle laser scanning, and the method comprises the following steps: deploying a laser radar, a millimeter wave radar, a polarized light camera and an intelligent blind area supplement unmanned aerial vehicle for cooperative scanning, and generating an optimal path through topological manifold learning; multi-source point cloud high-precision registration is achieved through geometric algebra and Lie group optimization, multi-sensor heterogeneous data are fused in combination with tensor decomposition, blind area dynamic adjustment paths are detected in real time, and finally a complete three-dimensional building model is generated. According to the method, the modeling precision and data integrity of a complex building structure (such as a glass curtain wall) can be remarkably improved, the problems of scanning blind areas and equipment single-point failure are effectively avoided, and an efficient and robust solution is provided for high-rise building three-dimensional modeling.

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.

The invention discloses a humanoid robot intelligent decoration construction system and method based on multi-modal sensing, and the system obtains the geometric data of a construction surface in real time through multi-modal sensing, obtains the posture data of a robot through an IMU inertial measurement unit, facilitates the data calibration, guarantees the modeling precision of a building model, and improves the construction efficiency. Real-time feedback of construction progress and construction defects is carried out; the intelligent decision-making module is combined to dynamically adjust the movement and construction operation track of the robot; by means of an end effector of the flexible mechanical arm, high-precision multi-mode building construction operation is achieved; and the collaborative operation module can realize multi-robot construction operation task scheduling and progress management, so that the building comprehensive construction efficiency is improved. Compared with a traditional decoration construction mode, the construction efficiency, the construction precision and the robot operation and moving stability are remarkably improved, autonomous operation of a complex curved surface is supported, and the construction consistency and the continuity of multi-mode construction operation are improved.