365 results about "Construction design" patented technology

A system for multi-stage planning of construction processes and resource allocation, consisting of: a central planning engine configured to receive input data, including architectural design models, structural constraints, procurement schedules, and historical performance indicators; a task decomposition processor that is operationally connected to the central planning engine and configured to generate a hierarchical construction task graph by decomposing macro-level construction milestones into mid-level and micro-level subtasks, with each subtask having time estimates, location identifiers, resource requirements, and mutual dependencies; a hybrid planning processing unit configured to resolve time and resource constraints across the entire task diagram; a resource coordination controller that is operationally connected to the central planning engine, wherein the resource coordination controller includes a real-time database of work units, machines and material stocks, each resource being tagged with attributes such as availability, usage history, operating status and spatial location; a multitude of distributed execution units distributed across the construction zones, each distributed execution unit comprising an embedded controller, sensor interfaces, task status processing logic, and communication circuitry, each distributed execution unit being configured to receive planning instructions from the central planning machine, execute localized control logic for task confirmation and resource activation, and transmit task execution data back to the central planning machine; an adaptive conflict resolution processing unit that is operationally connected to the central planning engine and configured to detect conflicts in task execution or resource conflicts, simulate alternative task-resource allocation scenarios using a real-time multi-agent model, and autonomously update the task graph with revised task sequences and resource allocations; and A dashboard for the construction process, configured to visualize task progress, deviations from the planned schedule, and resource efficiency metrics, with the dashboard also being able to receive manual override inputs or approve automated conflict resolution proposals generated by the adaptive conflict resolution module.

The invention relates to the technical field of building design, and discloses a BIM (Building Information Modeling) creation method based on a parameterization technology, which comprises the following steps: obtaining building project parameters, setting parameterization rules, generating a parameterization model framework, optimizing multi-level parameters, generating an intelligent BIM, verifying and simulating a model and automatically generating a construction scheme. According to the BIM creation method based on the parameterization technology, through collection of multi-dimensional parameter information, intelligent rule optimization, a multi-target optimization algorithm, comprehensive simulation verification and automatic construction scheme generation, high customization, real-time environment adaptability, intelligence and efficient cooperation of building design are achieved. According to the method, the design efficiency and quality are improved, and the optimal performance of the building in the aspects of structure, material, energy efficiency, construction and the like is ensured. Through the application of the block chain technology, the system further guarantees the security and transparency of the data, and guarantees the traceability and consistency of the design process.

The invention relates to the technical field of BIM building optimization, in particular to a BIM-based prefabricated building design construction optimization management system and method. The method comprises the following steps: acquiring a panoramic monitoring image of a building area and a construction design initial BIM model; carrying out regional space structure evolution and construction scene three-dimensional simulation on the panoramic monitoring image of the building region, and constructing a three-dimensional construction scene graph; identifying assembly type building component information according to the construction design initial BIM model so as to generate building component assembly demand characteristics; performing dynamic construction sequence simulation optimization on the three-dimensional construction scene graph and the construction design initial BIM model based on building component assembly demand characteristics, and constructing a dynamic optimization construction sequence; and carrying out available material transportation path analysis on the three-dimensional construction scene graph so as to generate an optimal operation path of each material. According to the invention, real-time collaborative management based on the BIM and the cloud is realized, the building construction quality is improved, and the construction design decision is optimized.

The invention provides a three-dimensional modeling and construction management method and device and a readable storage medium. The method comprises the steps that multi-professional engineering drawings and unstructured texts related to construction design are acquired; extracting a geometric entity in each professional drawing in the multi-professional engineering drawings, and constructing a target three-dimensional skeleton model; a hierarchical attention mechanism and a time sequence diagram neural network T-GNN are adopted to extract semantic parameters from the unstructured text; fusing geometric data corresponding to the target three-dimensional skeleton model with the semantic parameters to generate a lightweight three-dimensional model; and for the complex conflict in the lightweight three-dimensional model, disassembling the complex conflict into a symbolic logic subtask and a neural network subtask. According to the method, the device and the readable storage medium, the problems of low modeling efficiency, insufficient semantic understanding and limited conflict optimization capability caused by excessive dependence of three-dimensional modeling of multi-specialty engineering drawings on a traditional BIM tool in traditional engineering design can be solved.

The invention provides a material scheduling method and system based on tunnel construction progress, and relates to the technical field of information, and the method comprises the steps: querying the construction progress information of a target tunnel; then, determining a target construction tunnel unit corresponding to the target construction section in the whole tunnel construction model, and obtaining a construction design scheme corresponding to the target construction tunnel unit; then, determining the next construction process stage of the target construction section and material details required by the next construction process stage of the target construction section; and finally, scheduling corresponding materials based on the material details required by the next construction process stage. According to the method, the target tunnel is divided into the multiple construction tunnel units, and different construction design schemes are configured for the construction tunnel units, so that the next construction process stage at different construction positions can be accurately obtained, corresponding material scheduling is performed, the accuracy of material scheduling in the tunnel construction process is improved, and the construction efficiency is improved. And the tunnel construction efficiency is improved.

The invention relates to the technical field of foundation treatment, in particular to a dynamic compaction construction parameter optimization method based on XGBoost-PSO, and the method comprises the steps: obtaining a plurality of groups of compaction settlement data through a compaction test; the method comprises the following steps: selecting original features from actual measurement parameters of a test, constructing interactive features by adopting the actual measurement parameters, selecting optimal interactive features according to the importance ranking of XGboost features, and analyzing the correlation between the features; based on the feature set obtained through screening, a compaction settlement prediction model is established; and performing dynamic compaction parameter optimization on the compaction settlement prediction model by using a particle swarm algorithm to finally obtain an optimal compaction parameter combination. According to the method, the tamping parameters are automatically searched and optimized on the premise that the tamping stopping standard is met by building the tamping settlement prediction model, and therefore the purposes of guaranteeing the construction quality, improving the construction efficiency and reducing the construction cost are achieved; the method is suitable for various foundation construction design stages needing dynamic compaction treatment, and has good engineering adaptability and popularization value.

The invention discloses a combustible gas monitoring and early warning method and system based on the Internet of Things, and relates to the technical field of combustible gas monitoring, and the method comprises the steps: obtaining the construction design information of a target region, and carrying out the equivalent division and the deployment of Internet of Things equipment; m combustible gas sensing data streams are obtained through monitoring of a regional sensing network; the method comprises the following steps: building combustible gas analysis dual channels including a gas concentration analysis channel and an escape situation analysis channel; presetting a combustible gas safety threshold value, and carrying out early warning judgment on the combustible gas sensing data flow to obtain combustible gas parameters of the area to be subjected to early warning; and constructing a multi-stage linkage early warning mechanism, and performing linkage early warning control on the combustible gas parameters of the to-be-early-warned area. The technical problems that in the prior art, monitoring area division is unreasonable, dynamic factors are not considered in data analysis, and a hierarchical and zoned linkage strategy is lacked, so that the accuracy and timeliness of monitoring and early warning are poor are solved, and the technical effect of improving the timeliness and accuracy of combustible gas monitoring and early warning is achieved.

The invention relates to a method for the automated construction and / or design of at least one electromechanical component (10) or a mechanical component (15), in particular for an assembly or an object, comprising the following steps - Creating (S10) a training data set (420) wherein the training data set (420) contains images and / or drawings and / or sensor signals and / or interface requirements and / or assembly accesses and / or other data of electromechanical components (10) and / or mechanical components (15); - Training (S20) an AI model (350) with the training dataset (420); - Input (S30) first input data (210) for a design task and passing the input data (210) to the trained AI model (350); - Generating (S40) a design draft (370) from the AI ​​model (350); - Input (S50) of requirements in the form of second input data (220) to optimize and improve the design (370); - Repeat (S60) the process steps (S30) and (S40) in one iteration until a target design (375) is obtained; - Output (S70) of the target design (375) and / or store the target design (375) in a database.

The invention relates to the technical field of gift packaging three-dimensional modeling, and discloses a construction method of a gift box packaging design three-dimensional model. The method comprises the following steps: collecting natural language description, a freehand sketch image and a physical material attribute parameter; analyzing a natural language to construct a design intention map, and analyzing a sketch to generate a geometric feature code; performing knowledge alignment fusion on the two to form enhanced design semantic representation; generating an initial three-dimensional design framework by using a generative design algorithm; material parameters are integrated, compatibility simulation test is carried out, parameter self-adaptive adjustment circulation is started according to a feasibility evaluation report, and component parameters are dynamically optimized; and rendering and outputting a final model. Through deep fusion of multi-modal design information and preposed dynamic optimization of physical attributes, the accuracy of design intention expression and the producibility of a three-dimensional model are improved, and automation and intelligentization of a design process are realized.

The invention relates to the technical field of hydrofracture simulation experiments, in particular to a true triaxial hydrofracture fault slippage casing deformation monitoring method and system, and the method comprises the steps: preparing a target reservoir simulation sample; arranging and installing a shaft and a sensor; carrying out a water pressure physical model experiment and recording experiment data; and analyzing and processing the experimental data, and performing quantitative evaluation by combining the final state of the target reservoir simulation sample. According to the method, the shear deformation influence of fault slippage on the shaft casing under the true triaxial hydraulic fracturing condition can be quantitatively evaluated; scientific basis is provided for optimization of fracturing optimization design parameters, and engineering practical significance is achieved for optimization of the horizontal well casing damage prevention and control theory and on-site construction design.

The invention relates to the technical field of rock-soil stress monitoring, in particular to a rock-soil stress monitoring data analysis method and system. The method comprises the following steps: acquiring geological data and construction design data of a river bridge construction area, and analyzing piling immersed tube distribution difference to obtain piling immersed tube distribution difference data; performing extrusion lateral stress deflection simulation according to the piling immersed tube distribution difference data, further estimating stress transfer loss to obtain effective stress transfer data, and performing stress impact structure instability analysis between adjacent rocks and soil; and constructing a rock-soil stress risk monitoring model based on a random forest algorithm, and sending the model to a terminal for rock-soil stress monitoring data analysis. The rock-soil stress monitoring technology is optimized, so that the rock-soil stress monitoring technology is more accurate.

The invention relates to an underground engineering construction design technology, discloses a method for analyzing the influence of underground excavation under-crossing on an existing subway station, and improves the efficiency and precision of analyzing the influence of underground excavation under-crossing construction on the existing subway station. The method comprises the steps that by defining a structure and geometrical shapes and material attributes of a stratum, boundary conditions and external loads are set, grid division is carried out, and a finite element three-dimensional basic calculation model is constructed; according to theories of porous media and the like, a multi-physical field coupling model of a seepage-deformation-temperature full coupling effect is constructed; the rigidity of the underground excavation vertical pile foundation is calculated, and the rigidity of the underground excavation vertical pile foundation is corrected based on the influence factors of the soil squeezing effect and the negative friction resistance; subsurface excavation construction is subdivided into a plurality of stages, structural stress, deformation and stratum displacement are calculated through an incremental method, and the timeliness of a supporting structure and the influence of different excavation modes on stratum disturbance are analyzed; and obtaining a structural response through finite element iteration solution, and judging the influence of underground excavation under-crossing on the existing subway station.

The invention relates to the technical field of building engineering management, in particular to a building water supply and drainage system based on a building BIM (Building Information Modeling), which comprises a pipeline drawing generation module, an interface arrangement verification module, an arrangement space detection module, an operation data monitoring module and a fluid risk early warning module. According to the method, standardized drawing mapping of the pipeline trend, size and node layout is achieved through structured extraction of the BIM model, it is ensured that drawing output is complete and consistent, interface offset is automatically compared, abnormal arrangement is accurately recognized, the installation accuracy is improved, component conflicts can be pre-judged through space node clear distance analysis, field coordination is assisted, and the construction efficiency is improved. The method comprises the following steps: monitoring flow velocity pressure of a key drainage section, screening abnormal nodes, filing a hydraulic state, analyzing high-frequency risk points in a time sequence, marking continuous abnormity, providing operation early warning support, constructing drawing generation, arrangement verification, space coordination and a data feedback closed-loop process, and improving construction design accuracy and system operation stability.

The invention provides a tunnel construction carbon emission prediction method based on an LCA and MLP neural network model, and the method comprises the following steps: (1) dividing a tunnel construction process into material production, transportation and construction stages, quantifying the carbon emission of each stage based on a carbon emission factor method, and carrying out the accumulation to obtain the total carbon emission; (2) extracting initial influence factors from construction design parameters and geological conditions, screening significant variables through univariate regression analysis, and carrying out refined analysis on the surrounding rock grade in combination with SHAP value contribution degree quantification; (3) constructing an MLP neural network model by taking the I-level key index as an input variable, and optimizing the performance of the model through hyper-parameter tuning; and (4) generating a multivariable nonlinear empirical formula based on the optimized MLP model weight matrix and an SHAP value analysis result, and converting a model prediction result into a rapid estimation tool suitable for tunnel construction carbon emission by the empirical formula through combining a linear term, a nonlinear term and a variable interaction term.

The invention discloses a temperature prediction method and system for a prestressed reinforced concrete long-span beam bridge, and relates to the field of bridge temperature effect analysis. The method comprises the following steps of: 1, acquiring a construction design position coordinate, and monitoring a structure temperature in the construction design position coordinate; step 2, carrying out ANSYS modeling on the structure temperature to divide grids, and establishing a structure temperature field according to the single structure temperature in each grid; 3, acquiring a time sequence corresponding to the single structure temperature, establishing a mapping relation between the time sequence and the structure temperature field, and establishing a coordinate relation between the time sequence and the structure temperature field; and step 4, predicting the temperature at the next moment according to the coordinate relationship between the time sequence and the structural temperature field by using an LS-SVM regression algorithm based on the time sequence. Through temperature monitoring, the distribution rule of a temperature field is mastered, and the influence of the predicted temperature on the deformation of the main beam in the construction process is theoretically analyzed, so that the stress and deformation in the construction process can be timely and intuitively evaluated.

The invention relates to the technical field of BIM technology, in particular to a municipal engineering construction method based on BIM technology, which comprises the following steps: acquiring underground facility information, including pipelines and cables, of an area where a municipal engineering project is located through a city public data platform, and labeling attributes of the underground facility information; performing digital processing on the acquired underground facility information, and converting the underground facility information into a standardized geographic information format through a conversion tool; integrating the digitized underground facility information with a BIM model in a construction design stage by using a BIM platform; and performing priority ranking on different types of facility conflicts, and generating corresponding optimization suggestions. According to the method, the space relation between the underground facility and the newly-built facility can be accurately mastered, omission or misoperation in the construction process is avoided, and therefore the accuracy and reliability of construction design are improved.

The invention discloses a project quality detection method and system based on green building design, and relates to the technical field of project quality detection. The engineering quality detection method and system based on the green building design comprises the steps that S1, BIM structured data, real-time monitoring data, structure acceptance data and construction event and window data are preprocessed; s2, on the basis of BIM structured data and in combination with a BIM model, the qualification state of the component and the quality grade of the partition are judged; s3, identifying a working condition switching anchor point and an event, and performing segmented division of a working condition process; s4, feature clustering and performance state discrimination are carried out, different working condition types are identified, and tagging management is carried out; s5, identifying dominant factors and performing attribution assignment through multi-dimensional label attribution and traceability judgment; and S6, performing grade judgment and grade response through multi-source time sequence item-by-item difference analysis. The problems of state interval disjunction and difficulty in accurate attribution and stable diagnosis caused by space-time mismatching of construction progress, BIM nodes and energy consumption environment data and data asynchronization are solved.

The invention discloses an offshore bridge engineering digital intelligent construction system based on BIM data communication, and the construction system comprises five working modules: a construction design module, a construction deepening module, a construction building module, a completion operation and maintenance module, and a general data environment system module. The invention provides an offshore bridge engineering digital intelligent construction system based on BIM data communication, provides a data communication method of main model continuous iteration and sub-model difference derivation, and realizes digital management of full-life-cycle construction of offshore bridge engineering.

The invention belongs to the technical field of data processing, particularly relates to a BIM-based intelligent medical building design optimization method and system, and aims to solve the problems of high error rate and low optimization efficiency when real-time data is processed by a BIM model. The method comprises the following steps: acquiring a BIM model of a medical building, construction data and user input, establishing a mirror image model, detecting and correcting real-time data, processing the corrected data, detecting the real-time data by using a dynamic data detection model, correcting the data according to an error result, and optimizing the BIM model in combination with historical data. According to the method, the accuracy and optimization efficiency of the BIM model are improved, and efficient design, operation and maintenance of an intelligent medical building are supported.

The invention discloses an intelligent prediction method for pressure channeling of a deep coal-bed gas well, and relates to the technical field of intelligent prediction. The method comprises the following steps: S1, obtaining construction well fracturing design parameters, construction well geological parameters, adjacent well geological parameters, inter-well space relation parameters and actually measured pressure channeling labels in a deep coal bed gas block, and preprocessing the parameters to obtain a data set; s2, substituting the data set into a graph neural network, constructing a heterogeneous graph comprising a node set and an edge set, and fusing parameters to obtain fusion feature representation used for representing sample characteristics; the fusion feature representation comprises fracturing section node features and adjacent well node features; and S3, based on the fusion features, predicting the pressure channeling probability in combination with an MLP model. The pressure channeling risk prediction and optimization framework based on fusion of static geologic features and construction design parameters of a'fracturing section-adjacent well pair 'sample unit is adopted, whether the deep coal-bed gas well is subjected to pressure channeling or not can be predicted in advance, and the precision is high.

The invention relates to the technical field of artificial intelligence, and provides a construction plan generation method and device, electronic equipment and a storage medium. According to the method, firstly, a construction design document of a target project is preprocessed to obtain a coding vector, then an intention analysis model responds to a received construction plan construction instruction to perform intention analysis on the coding vector, and an initial construction subtask set is obtained; the intention analysis module also retrieves each sub-task in the initial construction sub-task set, and adjusts a sub-task division mode based on a retrieval result until a target sub-task set meeting a preset condition is obtained; and finally, inputting the target sub-task set into an inference model, integrating the construction period and the construction path of each construction sub-task by the inference model based on the constraint conditions in the target sub-task set, and obtaining a construction plan of the target project, thereby improving the automatic generation efficiency of the construction plan, and enabling the generated construction plan to better meet the requirements of users.

The hydraulic fracturing construction method comprises the following steps that S1, the physical and mechanical properties of a coal mine working face roof are tested, the firmness degree of roof rock is determined, and the area of the end suspended roof is evaluated; s2, through theoretical analysis and numerical calculation, the influence of several different influence factors such as the water injection rate, the main stress difference, the fracturing sequence and the drilling inclination angle on hard roof fracturing damage weakening is explored, and reference is provided for hydraulic fracturing site construction design; s3, hydraulic fracturing construction parameters of a working face end suspended roof are determined; and S4, hydraulic fracturing construction is conducted according to the determined construction parameters. According to the method, a hydraulic fracturing method is used, high-pressure fluid is injected into a target hard rock stratum, so that a crack is generated or a natural crack is restarted, a rock stratum structure is transformed, a crack network system is formed, the purposes of weakening an end hard top plate and timely collapsing are achieved, the weighting strength of the top plate is reduced, and the safety of a working face is guaranteed.

The invention provides a shallow water jacket split vertical non-slideway construction design method. The method comprises the following steps: generating shallow water jacket split vertical non-slideway construction scheme data; designing a segmented final assembly cushion pier of the upper jacket and an integral shipment transportation cushion pier of the jacket, and outputting cushion pier design data; designing a foundation transformation scheme of the shallow water jacket split vertical non-slideway construction area, and generating foundation transformation scheme data; designing the construction scheme of the lower jacket, the scheme of constructing the upper jacket based on the lower jacket and the hoisting and closing scheme of the upper jacket and the lower jacket, and generating lower jacket construction scheme data, upper jacket construction scheme data and hoisting and closing scheme data. The jacket is divided into the upper jacket and the lower jacket, vertical construction is completed at the same time in a non-slideway area, then folding and final assembly are conducted, the construction period is short, the ship loading speed is high, a slideway is not needed, and occupied space is small; vertical installation can be directly carried out on the sea, and offshore righting operation is not needed.

The invention discloses an implementation system and method for parametric modeling and construction drawing drawing of a truss trestle in the technical field of auxiliary building design, and the implementation system and method are implemented based on a Y-GAMA platform, and the implementation method comprises the steps: obtaining control parameters input by a user; on the basis of the control parameters input by the user, a truss trestle component model is established in combination with a pre-manufactured card bag; the truss trestle component model is endowed with structural attributes, parametric modeling load guiding is completed, and a three-dimensional model is generated; after components of the three-dimensional model are classified, the components are projected to a view plane to form an arrangement diagram; performing linear labeling and geometric transformation on the arrangement diagram to generate a construction drawing; and parameterized node design and node construction drawing drawing are carried out on the construction drawing. According to the method, the innovation of trestle design work in the industrial building field is greatly promoted, the design period is remarkably shortened, the design quality is improved, and errors and omission caused by manual operation are avoided.

The invention discloses a railway tunnel intelligent construction method and system based on axial plane collaboration, and relates to the technical field of railway tunnel construction.The method comprises the steps that geological exploration data and tunnel face and drilling data of a construction area are collected, and a geological model is established; determining stratum characteristics based on the field data, and reconstructing a geologic body through a Monte Carlo simulation method; geological information and drilling data in the reconstructed geologic body are verified, and a reconstructed reference image is generated; repairing the image by means of an AI model until a reconstruction requirement is met, and generating a blasting section reconstruction geology; finally, according to the reconstructed geology and geologic model, a blasting construction scheme is formulated, and automatic operation of construction machinery is guided. According to the method, the geological exploration data and the tunnel face and drilling data are utilized to predict and complement the front stratum geology, so that the blasting and construction design is more reasonable.

The invention relates to the field of building construction, in particular to a method for determining construction design parameters of an isolation pile between a newly-built foundation pit and an existing tunnel, and the method can accurately predict the horizontal displacement and other performance indexes of the tunnel through three-dimensional numerical simulation and a DE-GWO-SVM nonlinear mapping regression model. By means of the prediction capacity, the design parameters of the isolation piles can be adjusted in real time in the construction process, and therefore tunnel deformation is effectively controlled, structural damage is avoided, construction safety is ensured, and risks in the engineering implementation process are reduced. A multi-objective optimization framework based on DE-GWO-SVM-NSGA-II is introduced, so that the design parameters of the isolation piles are further optimized on the premise of meeting the safety requirements of the tunnel. The optimization target not only comprises tunnel deformation minimization, but also considers the construction cost minimization of the isolation piles. And finally, the construction parameters of the isolation piles are determined through the TOPSIS method, the safety can be guaranteed, meanwhile, the construction cost can be remarkably reduced, and the purpose of improving economic benefits is achieved.

The invention discloses a ship scheduling method, device and equipment in multi-project marine operation and a medium, and belongs to the field of marine operation scheduling. The method comprises the following steps: acquiring detailed information of an ocean operation project by identifying at least one construction design, inputting the information of the ocean operation project into a first operation scheduling model, generating first scheduling information, generating a first scheduling graph according to the first scheduling information, and acquiring real-time information of an operation area, and inputting the real-time information of the operation area and the first scheduling graph into a second operation scheduling model to generate second scheduling information, generating a second scheduling graph according to the second scheduling information, and finally performing ship scheduling according to the second scheduling graph. According to the method, the first operation scheduling model and the second scheduling operation model are constructed for the marine operation scheduling task in the multi-ship and multi-project mode, and the first scheduling graph and the second scheduling graph are generated according to the operation project information and the real-time information of the operation area, so that the real-time performance and the accuracy of marine operation scheduling are improved.

The invention belongs to the technical field of decorative plate pressing, and particularly relates to decorative plate pressing equipment for architectural design, which comprises a base, a glue injection barrel, an arc-shaped table, an ejection type processing mechanism and a resistance adjusting type hot glue mechanism, the glue injection barrel is arranged on the upper wall of the base, the arc-shaped table is arranged on the upper wall of the glue injection barrel, the ejection type processing mechanism is arranged on the glue injection barrel, and the resistance adjusting type hot glue mechanism is arranged on the arc-shaped table. The resistance adjusting type hot glue mechanism is arranged on the material ejecting type machining mechanism, and the material ejecting type machining mechanism comprises a steering assembly, a lifting assembly, a pressing assembly, a glue scraping assembly, a glue supplying assembly and a discharging assembly. According to the decorative plate pressing equipment for building design, the viscosity of glue adopted in the pressing process can be monitored in real time, and the heating temperature of the glue can be automatically adjusted and controlled.

The invention relates to the technical field of curtain wall plate construction design, in particular to a UHPC curtain wall plate installation construction design method based on a BIM technology. According to the method, the actually-measured coordinates are obtained by scanning the installed supporting structure, the field real scene model is constructed, the design pose is corrected according to the position deviation of the actually-measured coordinates and the design coordinates, the target pose matched with the current supporting structure form is obtained, dynamic adaptation to the construction deviation of the supporting structure in the installation stage is achieved, and the construction accuracy is improved. And the accuracy of installation and butt joint of the curtain wall plates is improved.

The embodiment of the invention discloses a river-crossing bridge safety management method and device based on multi-source data, and relates to the technical field of bridge construction safety management, and the method comprises the steps: obtaining bridge construction design data to construct a bridge BIM model and a construction finite element model, and constructing a dynamic digital twinborn body in combination with a safety risk knowledge graph; performing real-time deduction calculation by using the construction finite element model to realize graded early warning pushing; and identifying the ship target according to the video stream data by using the lightweight ship target detection model, predicting the navigation trajectory of the ship target, and performing collision risk prediction. A dynamic digital twinborn body fusing a BIM model, a finite element model and a risk knowledge graph is constructed, and deduction calculation is performed by using real-time data of each physical component, so that safety risk grading early warning is realized. And collision risk early warning is carried out on a ship target in a bridge water area through video analysis in combination with a lightweight ship target identification model. Existing hardware resources can be effectively utilized to reduce the cost, and collision risks are accurately warned in real time.