BIM-based building complex node construction scheme dynamic simulation method and system

Abstract

The invention relates to a BIM-based building complex node construction scheme dynamic simulation method and system, and relates to the technical field of constructional engineering informatization construction management, and the method comprises the steps: carrying out the construction region self-adaptive division of a node BIM model based on multi-dimensional feature clustering, and defining a heterogeneous substrate unit based on a self-adaptive division result; according to the heterogeneous substrate unit, the construction scheme parameters are dynamically divided based on the influence mode, and a bipartite construction parameter set is obtained; and according to the bipartite construction parameter set, performing two-stage dynamic simulation on the construction scheme in combination with the heterogeneous base unit and the node BIM model to obtain a node construction simulation result. The method solves the problems that in traditional complex node construction simulation, complex nodes are not effectively deconstructed, so that the overall simulation precision is insufficient, fixed-time quota is depended, the simulation process is not flexible, influences of different schemes are difficult to quickly evaluate, and scheme comparison, selection and optimization are difficult.

Description

TECHNICAL FIELD

[0001] The application relates to the field of information construction management of building engineering, in particular to a BIM-based dynamic simulation method and system for construction scheme of building complex nodes. BACKGROUND

[0002] With the continuous advancement of large complex building engineering, the construction quality and efficiency of complex nodes directly affect the overall engineering progress and cost control, and accurate simulation of construction schemes has gradually become a key technical requirement for ensuring engineering safety and improving construction efficiency.

[0003] At present, the traditional complex node construction simulation method does not effectively deconstruct the node, cannot realize fine simulation according to the local differences of the node, and leads to insufficient overall simulation accuracy. At the same time, such methods mostly rely on fixed work time quota, and the simulation process lacks flexibility, making it difficult to quickly evaluate the impact of different construction schemes, ultimately causing difficulties in construction scheme comparison and optimization, and restricting the scientificity and efficiency of engineering decision-making. SUMMARY

[0004] The application provides a BIM-based dynamic simulation method and system for construction scheme of building complex nodes, which improves the current situation that the traditional complex node construction simulation does not effectively deconstruct the node, relies on fixed work time quota and lacks flexibility in simulation, and it is difficult to quickly evaluate the impact of the scheme, thereby causing difficulties in comparison and optimization.

[0005] The embodiments of the application disclose the following technical solutions:

[0006] In a first aspect, the embodiments of the application provide a BIM-based dynamic simulation method for construction scheme of building complex nodes, which comprises:

[0007] Adaptive division of construction areas based on multi-dimensional feature clustering is performed on the node BIM model, and heterogeneous base units are defined based on the adaptive division results;

[0008] According to the heterogeneous base units, the construction scheme parameters are dynamically divided based on the influence mode, and a two-part construction parameter set is obtained, wherein the two-part construction parameter set comprises a reference construction parameter subset and a dynamic construction parameter subset;

[0009] According to the two-part construction parameter set, two-stage dynamic simulation of the construction scheme is performed in combination with the heterogeneous base units and the node BIM model, and a node construction simulation result is obtained.

[0010] In a second aspect, the embodiments of the application provide a BIM-based dynamic simulation system for construction scheme of building complex nodes, which comprises:

[0011] The region division and unit definition module is configured to perform adaptive division of a construction region based on multi-dimensional feature clustering on the node BIM model, and define a heterogeneous base unit based on the adaptive division result.

[0012] The construction parameter two-division module is configured to perform dynamic division of construction scheme parameters based on an influence mode according to the heterogeneous base unit, to obtain a two-division construction parameter set, wherein the two-division construction parameter set includes a reference construction parameter subset and a dynamic construction parameter subset.

[0013] The two-stage dynamic simulation module is configured to perform two-stage dynamic simulation of a construction scheme according to the two-division construction parameter set, in combination with the heterogeneous base unit and the node BIM model, to obtain a node construction simulation result.

[0014] The one or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0015] The present application provides a BIM-based dynamic simulation method and system for construction schemes of a complex node of a building. The method includes processing a node BIM model in steps, dividing construction scheme parameters, constructing a node influence mode library, and performing two-stage dynamic simulation, to achieve fine and accurate dynamic simulation of construction schemes of a complex node of a building. First, a node BIM model of a target complex node is obtained, and after analyzing and determining a common base level, a grid is divided. Construction regions are adaptively divided based on multi-dimensional feature clustering, and a heterogeneous base unit is defined. Then, simulation target indicators and construction scheme parameters are extracted, and a reference construction parameter subset and a dynamic construction parameter subset are divided through correlation analysis, to form a two-division construction parameter set. Subsequently, prior sample data is collected according to the dynamic construction parameter subset, and a node influence mode library is constructed through dimension cutting and independent modeling. Then, two-stage dynamic simulation is performed based on the two-division construction parameter set and the heterogeneous base unit. First, a first-order reference simulation result is obtained by initializing a heterogeneous base BIM model based on reference parameters. Then, a dynamic influence coefficient is calculated by calling the node influence mode library, and the reference result is corrected. Finally, a node construction simulation result is obtained.

[0016] The technical solutions of the present application solve the problems in traditional construction simulation of a complex node of a building, such as low simulation accuracy due to rough model processing, inability to adapt to dynamic influence factors due to non-differential processing of construction parameters, and lack of targeted basic data support in the simulation process. The present application avoids situations such as disconnection between simulation results and actual construction, and failure to identify key construction risks, caused by unreasonable parameter division or lack of dynamic correction, and improves the accuracy, flexibility, and reliability of dynamic simulation of construction schemes of a complex node of a building. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor.

[0018] Figure 1 The flowchart of the BIM-based construction scheme dynamic simulation method for building complex nodes provided by the embodiments of the present application is shown in the figure.

[0019] Figure 2 The structural diagram of the BIM-based construction scheme dynamic simulation system for building complex nodes provided by the embodiments of the present application is shown in the figure.

[0020] In the drawings, the components represented by the respective reference numerals are described as follows:

[0021] The area division and unit definition module 01, the construction parameter two-division module 02, and the two-stage dynamic simulation module 03. DETAILED DESCRIPTION

[0022] The present application provides a BIM-based construction scheme dynamic simulation method and system for building complex nodes, which is used to solve the technical problems in the prior art that the traditional complex node construction simulation cannot effectively deconstruct the nodes, resulting in insufficient overall precision, relies on fixed work time quota and is not flexible in simulation, and it is difficult to quickly evaluate the influence of the scheme, thereby making it difficult to compare and optimize.

[0023] The technical solutions in the embodiments of the present application will be described clearly and completely in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0024] In the description of the present application, the terms "first" and "second" are only used for description purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise specifically limited.

[0025] In the description of this application, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0026] Example 1, as shown in the appendix Figure 1 As shown, this application provides a dynamic simulation method for construction schemes of complex building nodes based on BIM. The method includes the following steps:

[0027] S110: Adaptively divide the construction area of ​​the node BIM model based on multidimensional feature clustering, and define heterogeneous base units based on the adaptive division results;

[0028] In this embodiment of the application, in the scenario of large-scale complex construction projects involving the construction simulation of complex nodes, in order to achieve refined simulation of complex nodes, it is necessary to first divide the node BIM model into construction areas and define heterogeneous base units to improve the accuracy and efficiency of subsequent dynamic simulation of construction schemes.

[0029] Specifically, the first step is to obtain the BIM model of the target complex node and analyze it to determine the common base layer level. This process needs to be combined with the actual construction requirements to ensure that the common base layer level can accurately reflect the foundation composition and construction-related attributes of the node, laying the foundation for subsequent operations.

[0030] Furthermore, based on the established common base hierarchy, the node BIM model is meshed to form a mesh BIM model. Mesh generation must conform to the structural characteristics and construction feasibility of the nodes to ensure that the resulting mesh can effectively support subsequent feature extraction and cluster analysis.

[0031] Furthermore, after completing the grid division, the multi-dimensional feature vectors of the grid BIM models are obtained by traversing them, and then the unsupervised clustering algorithm is used to classify the multiple grid BIM models and divide them into multiple construction feature clusters.

[0032] Finally, multiple heterogeneous foundation units are defined based on the identified multiple construction feature clusters, and the inherent parameters of each heterogeneous foundation unit are marked to clarify the foundation construction attributes of different units.

[0033] The step provides a precise basic unit carrier for subsequent construction scheme parameter division and two-stage dynamic simulation by explicitly defining the heterogeneous base unit and its inherent parameters, ensures that the subsequent simulation process can be carried out based on clear unit division, and improves the fitting degree of the simulation result and the actual construction.

[0034] The step S110 in the method provided by the embodiment of the application comprises:

[0035] A node BIM model of a target complex node is acquired, and a common base level of the node BIM model is analyzed and determined;

[0036] Based on the common base level, a grid BIM model is obtained by performing grid division on the node BIM model;

[0037] A multi-dimensional feature vector of the grid BIM model is acquired by iteration, and a plurality of construction feature clusters are divided from a plurality of grid BIM models by combining an unsupervised clustering algorithm;

[0038] A plurality of heterogeneous base units are defined according to the plurality of construction feature clusters, and unit inherent parameters of the heterogeneous base units are marked.

[0039] In the embodiment of the application, in order to realize fine dynamic simulation of a construction scheme of a building complex node, a basic simulation unit that conforms to actual construction is constructed by hierarchical processing and feature clustering of a node BIM model, so as to improve the accuracy and efficiency of subsequent construction scheme simulation, and provide a reliable carrier for construction parameter dynamic division and two-stage simulation.

[0040] Specifically, first, a node BIM model of a target complex node is acquired, and then a common base level of the node BIM model is analyzed and determined, so as to ensure that subsequent processing of the node BIM model conforms to the actual operation logic of construction, and to avoid simulation from deviating from the actual construction scene.

[0041] In the method provided by the embodiment of the application, a node BIM model of a target complex node is acquired, and a common base level of the node BIM model is analyzed and determined, which comprises:

[0042] The node BIM model is decomposed based on construction operability in combination with node prior knowledge of the target complex node;

[0043] According to the model decomposition result, a minimum construction unit that meets the standardized process constraint and can be repeatedly metered is extracted, and the common base level is defined correspondingly;

[0044] The common base level comprises coupled material level information and process list information.

[0045] Specifically, first, the node BIM model is decomposed based on construction operability in combination with the node prior knowledge of the target complex node. The node prior knowledge covers the common structural form of the complex node, the conventional operation sequence in construction, the process adaptation requirements of different parts, and the like. For example, for a large-span steel structure node, the prior knowledge includes the splicing sequence of steel structure components, the applicable parts of welding process, the spatial restrictions of hoisting operations, and the like.

[0046] In the decomposition process, the node BIM model is disassembled into multiple sub-modules corresponding to actual construction steps according to the obtained prior knowledge, so as to avoid decomposition results that cannot correspond to construction operations, such as steel structure regions that need to be continuously welded being split into multiple independent sub-modules to prevent process logic from being broken in subsequent simulation.

[0047] Further, after completing the model decomposition, the minimum construction unit that meets the standardized process constraints and can be repeatedly measured is extracted according to the model decomposition result.

[0048] The standardized process constraints refer to the construction process standards commonly used in the industry, such as the layer thickness standard of concrete pouring, the spacing standard of steel bar binding, and the like. In addition, the repeated measurement requires that the engineering quantity of the construction unit can be calculated by a clear measurement method, such as a curtain wall installation unit measured by area, a pipe laying unit measured by length, and the like.

[0049] Taking a complex mechanical and electrical intersection as an example, single pipe installation and single valve connection are extracted as minimum construction units after decomposition. These minimum construction units not only meet the standardized process requirements of mechanical and electrical installation, but also can be repeatedly measured by length, quantity, and the like, without ambiguous units that are not standardized or difficult to measure.

[0050] After the minimum construction unit is extracted, the common base level is defined correspondingly, and the common base level includes coupled material level information and process list information. The material level information covers the material types, specifications, and quantities required by the minimum construction unit, such as the material level information of single pipe installation including pipe material, pipe diameter, and single segment length.

[0051] In addition, the process list information includes the specific process steps required to complete the construction unit and the sequence of each process. For example, the process list information of single pipe installation includes pipe cutting, pipe port polishing, pipe connection, and pressure testing steps.

[0052] The step couples the material level information and the process list information in the common base level, so that in subsequent operations, the association data of the material and the process can be obtained synchronously as long as the association to the level is made, the problem of disconnection between the material and the process in subsequent simulation is avoided, and complete basic data support is provided for subsequent steps such as grid division and parameter marking.

[0053] Further, after the common base level is defined, the grid BIM model is obtained by performing grid division on the node BIM model based on the common base level.

[0054] Specifically, the density and range of the grid division need to strictly match the size and distribution of the smallest construction unit in the common base level, so as to ensure that each grid can accurately correspond to the core construction area of the smallest construction unit, and neither a single grid covers multiple different significant construction units due to the grid being too large, nor unnecessary calculation load is increased due to the grid being too small.

[0055] Illustratively, for a complex node containing multiple standardized curtain wall installation units, the node BIM model is divided into grids of equal size according to the size of each curtain wall installation unit, so that each grid covers the construction range of one curtain wall installation unit, to ensure that the feature extraction of the grid can be directly associated with the attributes of the specific construction unit.

[0056] Further, after the grid division is completed, the multi-dimensional feature vector of the grid BIM model is obtained by traversal, so as to comprehensively capture the construction association attributes of each grid, and ensure that the clustering result can accurately reflect the differences and commonalities of different grids in different feature levels.

[0057] In the method provided by the embodiments of the present application, the multi-dimensional features at least include geometric features, spatial features, process features and logical features.

[0058] Specifically, when the geometric features are extracted, the size, shape, surface area, volume and other data of each grid are recorded, such as a grid corresponding to a cylindrical steel structure unit, the geometric features of which include the diameter, height and lateral area of the cylinder. In addition, when the spatial features are extracted, the three-dimensional coordinates of the grid in the node BIM model, the relative position relationship with adjacent grids and other information are collected, for example, a grid located in the top area of the node, the spatial features of which mark the elevation of the area and the vertical distance from the grid of the bottom support structure.

[0059] Meanwhile, when extracting the process feature, the process requirements of the corresponding construction unit in the common base level are associated, such as whether welding is required, whether high-precision assembly is required, and the like. In addition, when extracting the logic feature, the construction sequence of the grid corresponding to the construction unit and other grid construction units is determined, such as the pipe installation of a certain grid needs to be performed after the completion of the bracket construction of the adjacent grid, and the logic feature records this sequence. By comprehensively collecting the features of the above four dimensions, a multi-dimensional feature vector that can fully reflect the construction properties of each grid is formed.

[0060] Further, after obtaining the multi-dimensional feature vectors of all grids, the unsupervised clustering algorithm is combined to divide the plurality of grid BIM models into a plurality of construction feature clusters. Specifically, in the clustering process, the unsupervised clustering algorithm automatically identifies the grids with similar feature vectors and classifies them into the same construction feature cluster, ensuring that the grids in the same cluster have high consistency in construction requirements, operation difficulty, resource allocation, and the like.

[0061] Exemplarily, the grids with the same geometric feature of rectangle, the same spatial feature located in the middle layer area of the node, the same process feature of bolt connection, and the same logic feature requiring construction after concrete pouring are classified into the same construction feature cluster, so that the subsequent processing of the cluster can adapt to similar construction parameters in batches.

[0062] Finally, a plurality of heterogeneous base units are defined according to the plurality of construction feature clusters divided, and the unit inherent parameters of the heterogeneous base units are marked to clearly define the basic construction properties of each unit and ensure that the simulation process can adapt to the construction characteristics of different units, thereby improving the matching degree of the simulation results and the actual construction.

[0063] In the method provided by the embodiment of the application, the unit inherent parameters at least include reference working hours, reference labor configuration, reference mechanical configuration, and reference material consumption.

[0064] Specifically, when defining the heterogeneous base units, the common construction properties of the grids in the same cluster are integrated into the core properties of the heterogeneous base units in the unit of the construction feature cluster, so that each heterogeneous base unit can represent a set of grids with similar construction features.

[0065] Further, when marking the unit inherent parameters, the material and process information of the common base level and the industry construction quota standard are combined to determine the specific parameter values for each heterogeneous base unit.

[0066] Exemplarily, a certain isomeric base unit corresponding to a batch welding construction of a steel structure grid cluster has its inherent parameters marked as the benchmark working hours of 8 working days required to complete the construction of all grids in the cluster, the benchmark labor configuration of 3 certified welders, the benchmark mechanical configuration of 1 welding robot, and the benchmark material consumption of corresponding specifications of steel materials. By specifying these parameters, accurate basic data support is provided for the dynamic simulation of subsequent construction schemes.

[0067] S120: According to the isomeric base unit, the construction scheme parameters are dynamically divided based on the influence mode to obtain a two-part construction parameter set, wherein the two-part construction parameter set includes a benchmark construction parameter subset and a dynamic construction parameter subset.

[0068] In the embodiments of the present application, in order to distinguish the parameter types in the construction scheme parameters that have different influence degrees on the simulation target indicators, the construction scheme parameters need to be divided based on the influence mode to form two types of parameter subsets, namely, the benchmark and dynamic parameter subsets, to provide targeted parameter basis for the subsequent two-stage dynamic simulation.

[0069] Specifically, first, the simulation target indicators of the target complex node are obtained, and the construction scheme information is analyzed to extract the construction scheme parameters. The simulation target indicators need to be determined around the needs of construction simulation, and at least cover at least one of the engineering quantity indicator type and the engineering cost indicator type. The former is used to reflect the engineering quantity scale completed by construction, and the latter is used to reflect the cost consumption in the construction process.

[0070] In addition, the construction scheme parameters are extracted from the existing construction scheme documents, which contain various parameter information related to the construction process. These parameters collectively constitute the basis data for subsequent division.

[0071] Further, the extracted construction scheme parameters and simulation target indicators are randomly combined to obtain a plurality of correlation analysis groups. Each correlation analysis group is composed of a single construction scheme parameter and a single simulation target indicator. Through comprehensive random combination, the correlation between all construction scheme parameters and simulation target indicators can be ensured to be included in the analysis range.

[0072] Further, correlation analysis is performed on the plurality of correlation analysis groups obtained, and then the correlation degree between the construction scheme parameters and the simulation target indicators is judged. In the correlation analysis process, the correlation strength value of each group of parameters and indicators is calculated through data calculation, and then the correlation strength value is compared with the preset significance constraint standard.

[0073] When the correlation strength value meets the significance constraint, it indicates that the corresponding construction scheme parameter has a significant influence on the simulation target index, and such parameters will be determined as members of the dynamic construction parameter subset. Conversely, if the correlation strength value does not meet the significance constraint, it indicates that the construction scheme parameter has a small influence on the simulation target index, and can be used as a component of the baseline construction parameter subset.

[0074] Finally, the baseline construction parameter subset is determined by excluding the dynamic construction parameter subset from the initial extracted construction scheme parameters.

[0075] Through the above steps of division, two sets of construction parameters corresponding to significant and weak influence parameters are formed, so that in the subsequent simulation process, the dynamic construction parameter subset can be adjusted and the baseline construction parameter subset can be kept relatively stable, ensuring the accuracy of the simulation and avoiding unnecessary calculation redundancy.

[0076] The step S120 in the method provided in the embodiment of the application comprises:

[0077] Obtain the simulation target index of the target complex node, and parse the construction scheme information to extract the construction scheme parameters, wherein the simulation target index comprises at least one of the engineering quantity index type and the engineering cost index type;

[0078] Iterate through the construction scheme parameters, and randomly combine the construction scheme parameters with the simulation target index to obtain a plurality of correlation analysis groups;

[0079] Perform correlation analysis on the plurality of correlation analysis groups, and determine the construction scheme parameters of the correlation analysis groups whose correlation analysis results meet the preset significance constraint as the dynamic construction parameter subset;

[0080] Excluding the dynamic construction parameter subset from the construction scheme parameters to determine the baseline construction parameter subset.

[0081] In the embodiment of the application, in order to accurately distinguish the influence degree of the construction scheme parameters on the simulation result of the complex node construction, avoid the situation that the simulation cannot respond to the change of the key variable due to the fixed mode processing of all parameters, and divide the parameter subset through the correlation analysis and the exclusion method to form two sets of construction parameters of the baseline and the dynamic, the application provides a targeted parameter basis for the subsequent two-stage dynamic simulation, and improves the fitting degree of the simulation result and the actual construction.

[0082] First, the simulation target index of the target complex node is obtained, and the construction scheme information is parsed to extract the construction scheme parameters, so as to clearly define the core measurement standard and the key influence factor of the construction simulation, and provide basic data support for the subsequent correlation analysis of the parameters and the index.

[0083] Specifically, the simulation target index needs to be determined around the construction simulation core target, including at least one of the engineering quantity index class and the engineering cost index class. Among them, the engineering quantity index class is used to measure the work scale completed by the construction, such as the welding length of a certain steel structure node, the number of bolt installation, etc. In addition, the engineering cost index class is used to account for the resource consumption in the construction process, such as the labor cost of a certain curtain wall node construction, the material procurement cost, etc.

[0084] When extracting the construction scheme parameters, all parameters related to the construction process need to be sorted out from the construction organization design, technical disclosure file and other materials, covering multiple dimensions such as spatial position, physical property, environmental logic, construction organization, etc., to ensure that no key parameters are missed in subsequent analysis.

[0085] Among them, the spatial position at least includes the installation elevation, horizontal coordinate, such as the hoisting height of a large-span steel structure node, the transverse and longitudinal positioning of a curtain wall unit on the building facade. In addition, the physical property at least includes the component weight, size, geometric curvature, such as the diameter and wall thickness of mechanical and electrical pipelines, the bending radius of an arc-shaped steel structure component.

[0086] At the same time, the environmental logic at least includes weather influence factors, transportation path complexity, such as the precipitation intensity coefficient in the rainy season construction, the congestion degree of the component transportation route from the processing site to the work surface. In addition, the construction organization at least includes the skill level of the team, the work surface handover state, such as the number and skill level of certified personnel in the welding team, the cleaning and acceptance of the work surface after the previous process is completed.

[0087] Further, after obtaining the simulation target index and the construction scheme parameters, the construction scheme parameters and the simulation target index are randomly combined to obtain multiple correlation analysis groups. Each correlation analysis group contains only one construction scheme parameter and one simulation target index, such as installation elevation (parameter) - welding engineering quantity (index), team skill level (parameter) - labor cost (index), etc.

[0088] Through comprehensive combination, it is ensured that each construction scheme parameter can be associated with each type of simulation target index, thereby avoiding the influence of some parameters on the index due to incomplete combination, and laying a foundation for the comprehensiveness of subsequent related analysis.

[0089] Further, after completing the construction of the correlation analysis group, the multiple correlation analysis groups are subjected to related analysis to determine the correlation strength between the construction scheme parameters and the simulation target index.

[0090] Specifically, in the related analysis process, the correlation coefficient of each group of parameters and indexes is calculated through data calculation, and then the correlation coefficient is compared with the preset significance constraint standard, and then the construction scheme parameters with significant and weak influence on the simulation target index are distinguished.

[0091] If the correlation coefficient satisfies the significance constraint, it indicates that the construction scheme parameter has a significant impact on the simulation target index, and it is included in the dynamic construction parameter subset, such as the installation elevation in the spatial position parameter, which will significantly affect the hoisting engineering quantity and mechanical use cost, and therefore is divided into dynamic construction parameters. On the contrary, if the correlation coefficient does not satisfy the significance constraint, it indicates that the parameter has a weak impact on the index, and is not included in the dynamic parameter category.

[0092] Finally, the benchmark construction parameter subset is determined by counter-selection of the dynamic construction parameter subset and all construction scheme parameters. Specifically, the counter-selection process is to exclude the contents that have been included in the dynamic construction parameter subset from all construction scheme parameters, and the remaining parameters are the benchmark construction parameter subset. Such parameters usually have stable and weak effects on the simulation target index, such as the standard installation time of a fixed specification bolt, which changes very little in different construction scenarios, and therefore is divided into benchmark construction parameters.

[0093] Through the division of the above steps, a functional two-part construction parameter set can be formed, and in subsequent simulation, the dynamic parameters can be focused on adjustment, and the benchmark parameters can be kept stable, which not only ensures the flexibility of simulation, but also avoids unnecessary calculation redundancy.

[0094] S130: According to the two-part construction parameter set, a two-stage dynamic simulation of the construction scheme is performed in combination with the heterogeneous base unit and the node BIM model, and a node construction simulation result is obtained.

[0095] In the embodiments of the present application, in order to balance the stability and flexibility of simulation, and avoid the influence of different parameters on the result, a two-stage simulation is needed to establish a foundation through benchmark simulation and dynamically correct and optimize the accuracy, so as to finally obtain a node construction simulation result that fits the actual construction situation.

[0096] Specifically, first, the benchmark construction parameter subset is extracted based on the two-part construction parameter set, and then the heterogeneous base BIM model is obtained by randomly cutting the node BIM model according to the heterogeneous base unit. This step needs to ensure that the cut heterogeneous base BIM model can completely correspond to the previously defined heterogeneous base unit, and the extraction of the benchmark construction parameter subset needs to accurately match the basic construction requirements of each heterogeneous base unit, providing accurate data and model support for subsequent initialization simulation.

[0097] Further, according to the reference construction parameter subset, a plurality of heterogeneous base BIM models are initialized and construction simulation is performed to obtain a first-order reference simulation result. The initialization process needs to match the parameter values in the reference construction parameter subset to the corresponding heterogeneous base BIM model one by one, and the simulation process strictly follows the construction logic set by the reference parameters to ensure that the first-order reference simulation result can reflect the basic execution of the construction scheme under stable parameter conditions.

[0098] Further, after completing the first-order reference simulation, based on the dynamic construction parameter subset, pattern matching calling is performed in the node influence mode library to obtain a plurality of dynamic influence modes. Then, the true values of the dynamic construction parameter subset are respectively input into the plurality of dynamic influence modes to obtain a plurality of sets of simulation result influence coefficients.

[0099] After obtaining the simulation result influence coefficients, the model coordinate features corresponding to the dynamic construction parameter subset are taken as indexes to structure the plurality of sets of simulation result influence coefficients and establish a position mapping relationship with the node BIM model. The index of the coordinate features needs to accurately correspond to the spatial position of the node BIM model, and the establishment of the position mapping relationship needs to ensure that the influence coefficients can be accurately associated with the specific model area where they act, so as to avoid the mismatch between the coefficients and the positions.

[0100] Finally, according to the position mapping relationship, the first-order reference simulation result is dynamically corrected by the plurality of sets of simulation result influence coefficients to obtain a node construction simulation result. The correction process needs to apply the corresponding influence coefficients to the corresponding area of the first-order reference simulation result according to the position mapping, and the influence of the dynamic parameters on the construction result is reflected through the coefficient adjustment, and finally the simulation result considering the reference stability and dynamic flexibility is obtained.

[0101] The step S130 in the method provided by the embodiment of the application includes:

[0102] extracting the reference construction parameter subset based on the two-part construction parameter set;

[0103] randomly cutting the node BIM model according to the heterogeneous base unit to obtain a heterogeneous base BIM model;

[0104] initializing a plurality of the heterogeneous base BIM models according to the reference construction parameter subset and performing construction simulation to obtain a first-order reference simulation result.

[0105] performing pattern matching calling in the node influence mode library based on the dynamic construction parameter subset to obtain a plurality of dynamic influence modes;

[0106] inputting the true values of the dynamic construction parameter subset into a plurality of dynamic influence modes to obtain a plurality of sets of simulation result influence coefficients;

[0107] The simulation result influence coefficients are structured and output in multiple groups with the model coordinate features corresponding to the dynamic construction parameter subset as indexes, and a position mapping relationship with the node BIM model is established;

[0108] According to the position mapping relationship, a first-order reference simulation result is dynamically corrected through the multiple groups of simulation result influence coefficients, and the node construction simulation result is obtained.

[0109] In the embodiments of the application, in order to make the complex node construction scheme simulation maintain basic stability and accurately respond to changes in key parameters, and avoid the demand that a single simulation stage cannot consider both reference and dynamic adjustment, a two-stage process of reference simulation and dynamic correction is needed to carry out simulation, so as to integrate the advantages of the two-part construction parameter set and the heterogeneous base unit, and finally obtain accurate simulation results that fit the actual construction scene.

[0110] In the method provided by the embodiments of the application, according to the two-part construction parameter set, the construction scheme is dynamically simulated in two stages in combination with the heterogeneous base unit and the node BIM model, and before that, the method comprises:

[0111] According to the dynamic construction parameter subset, prior sample data is collected, wherein the prior sample data at least includes one of historical project data and high-fidelity simulation data;

[0112] The prior sample data is dimensionally cut based on the dynamic construction parameter subset;

[0113] The sample values of the dynamic construction parameter subset in the dimension cutting result are taken as independent variables, and multiple simulation target indicators are taken as analysis objects for independent modeling, to obtain a node influence mode library of the target complex node.

[0114] In the embodiments of the application, in order to avoid the dynamic parameters from not being accurately applied to the simulation result due to the lack of parameter influence mode support, a node influence mode library needs to be constructed through the processes of sample collection, dimension cutting and modeling analysis, to clarify the association logic between the dynamic construction parameters and the simulation target indicators, and to ensure that the subsequent dynamic correction process is scientific and accurate.

[0115] Specifically, first, prior sample data is collected according to the dynamic construction parameter subset. The prior sample data needs to be selected around the type of dynamic construction parameters and simulation requirements, and at least covers one of historical project data and high-fidelity simulation data.

[0116] The historical project data can be extracted from a database of past similar complex node construction, such as the hoisting engineering quantity data corresponding to different installation elevations, and the construction efficiency data corresponding to different team skill levels in the construction of a large venue steel structure node. In addition, high-fidelity simulation data is simulated and generated by professional simulation software, such as the construction progress change data of a complex mechanical and electrical node under the influence of different weather factors, and the material loss data corresponding to different transportation path complexities, to ensure that the collected sample data can fully cover the possible value range of dynamic construction parameters and the actual impact scenarios.

[0117] Further, after obtaining the prior sample data, the prior sample data is dimensionally cut based on the subset of dynamic construction parameters. Specifically, the dimensional cutting needs to eliminate the redundant information in the sample data that is irrelevant to the dynamic construction parameters, and only keep the data dimensions related to the dynamic construction parameters and the simulation target indicators.

[0118] For example, if the subset of dynamic construction parameters includes installation elevation and weather influence factor, and the simulation target indicators are engineering quantity and cost, the installation elevation value, weather influence factor value, corresponding engineering quantity data, and corresponding cost data in the sample data will be retained during cutting, and irrelevant dimension information such as construction unit name and project start date will be eliminated, so as to avoid the interference of redundant data on subsequent modeling analysis, and ensure that the cut sample data focuses on the core analysis dimensions.

[0119] Further, after completing the dimensional cutting, the sample values corresponding to the subset of dynamic construction parameters in the dimensional cutting result are taken as independent variables, and multiple simulation target indicators are taken as analysis objects for independent modeling, to obtain the node influence mode library of the target complex node.

[0120] Specifically, in the modeling process, an association model between the dynamic construction parameters needs to be constructed for each simulation target indicator, for example, an installation elevation and a weather influence factor are taken as independent variables, and a hoisting engineering quantity is taken as an analysis object to construct an engineering quantity influence model, and a team skill level and a transportation path complexity are taken as independent variables, and a construction cost is taken as an analysis object to construct a cost influence model.

[0121] At the same time, a suitable machine learning algorithm is used during modeling to fit the relationship between the parameters and the indicators, to form a model that can quantitatively reflect the influence of parameter changes on the indicators, i.e., a dynamic influence mode. Integrating all dynamic influence modes forms the node influence mode library.

[0122] For example, the node influence mode library includes specific influence modes such as “installation elevation increases by 5 meters, hoisting engineering quantity increases by 15%” and “under moderate rain weather (influence factor 0.7), construction efficiency decreases by 30%”, which provide direct and usable influence law basis for dynamic correction in the subsequent two-stage dynamic simulation.

[0123] Further, after the node influence mode library is constructed, the first stage of the two-stage dynamic simulation, i.e., the benchmark simulation stage, is entered. Specifically, first, a benchmark construction parameter subset is extracted based on the dichotomous construction parameter set. The extraction process needs to filter out parameters that have a stable influence on the simulation target indicators and have a very small change range under different construction scenarios, such as the standard installation time of fixed specification steel structure bolts, the basic manual configuration quantity of conventional concrete pouring, etc. These parameters do not need to be adjusted frequently and can provide stable basic data support for simulation to ensure the reliability of the subsequent benchmark simulation results.

[0124] Further, after the benchmark construction parameter subset is extracted, the node BIM model is randomly cut according to the heterogeneous base unit to obtain a heterogeneous base BIM model. Specifically, the cutting needs to be strictly based on the previously defined heterogeneous base unit to ensure that each cut heterogeneous base BIM model can completely correspond to the construction range and structural characteristics of a heterogeneous base unit.

[0125] Illustratively, for a single DN100 pipeline installation corresponding to a heterogeneous base unit, a BIM sub-model containing the pipeline, supporting pipe fittings and surrounding fixed supports will be cut out, neither omitting the core structure of the unit nor including irrelevant other node areas, thereby avoiding the disconnection between subsequent simulation and actual construction unit due to cutting range deviation.

[0126] Further, after the heterogeneous base BIM model is obtained, a plurality of heterogeneous base BIM models are initialized and simulated according to the benchmark construction parameter subset to obtain a first-order benchmark simulation result. During initialization, the parameter values in the benchmark construction parameter subset need to be matched one by one to the parameter settings of the corresponding heterogeneous base BIM model, such as entering the benchmark manual configuration of "2 pipeline workers" and the benchmark working hours of "1.5 working days" into the heterogeneous base BIM model corresponding to pipeline installation.

[0127] At the same time, the simulation process strictly follows the construction technology and process set by the benchmark parameters, such as simulating construction according to the standard process of pipeline positioning-pipe fitting connection-pressure test, and finally outputting the construction results of each heterogeneous base unit under stable parameter conditions, such as the benchmark quantities and benchmark costs of pipeline installation. These results are integrated to form the first-order benchmark simulation result, which provides a basis for subsequent dynamic correction.

[0128] Further, after the benchmark simulation stage is completed, the second stage, i.e., the dynamic correction stage, is entered. First, based on the dynamic construction parameter subset, mode matching and calling are performed in the node influence mode library to obtain a plurality of dynamic influence modes.

[0129] The mode matching needs to be accurately screened according to the type and characteristics of the dynamic construction parameters. For example, for the spatial position parameter of “installation elevation 25 meters”, the dynamic mode of the influence of installation elevation and hoisting engineering quantity in the node influence mode library is called. In addition, for the environmental logic parameter of “moderate rain weather (influence factor 0.7)”, the dynamic mode of the influence of weather influence factor and construction efficiency is called, so as to ensure that the obtained dynamic influence mode can accurately reflect the influence law of the corresponding parameter on the simulation result.

[0130] Further, the true values of the subset of dynamic construction parameters are respectively input into a plurality of dynamic influence modes to obtain a plurality of groups of simulation result influence coefficients. Specifically, the true value is the actual value of the dynamic parameter in the current construction scheme, such as inputting “installation elevation 25 meters” and “moderate rain weather influence factor 0.7” into the corresponding dynamic influence mode. Through the algorithm built-in the mode, the quantitative influence coefficient is obtained, for example, the hoisting engineering quantity influence coefficient corresponding to the installation elevation of 25 meters is 1.2 (indicating that the engineering quantity is increased by 20% compared with the baseline elevation), and the construction efficiency influence coefficient corresponding to the moderate rain weather is 0.8 (indicating that the efficiency is reduced by 20% compared with the sunny day). These simulation result influence coefficients will be used to adjust the baseline simulation result.

[0131] Further, after obtaining the simulation result influence coefficients, the model coordinate characteristics corresponding to the subset of dynamic construction parameters are taken as indexes to structure the output of a plurality of groups of simulation result influence coefficients, and a position mapping relationship with the node BIM model is established.

[0132] The model coordinate characteristics are the three-dimensional coordinate information of the action area of the dynamic parameter in the node BIM model. For example, the pipeline with installation elevation of 25 meters has a coordinate range of X=8m, Y=12m, and Z=25m in the node BIM model. The influence coefficient is output with the coordinate as the index, and the model area corresponding to the coefficient is clearly marked, such as binding the hoisting engineering quantity coefficient of 1.2 with the pipeline area at Z=25m, so as to ensure that each group of influence coefficients can accurately correspond to the specific construction position in the node BIM model, avoiding the mismatch between the influence coefficient and the position.

[0133] Finally, according to the position mapping relationship, the first-order baseline simulation result is dynamically corrected by a plurality of groups of simulation result influence coefficients to obtain the node construction simulation result.

[0134] Specifically, the correction process needs to apply the corresponding influence coefficient to the corresponding area of the first-order baseline simulation result according to the position mapping, for example, multiplying the baseline hoisting engineering quantity by the influence coefficient of 1.2 in the pipeline area at Z=25m to obtain the corrected actual hoisting engineering quantity. In addition, in the operation area affected by the moderate rain, the baseline construction efficiency is multiplied by the influence coefficient of 0.8 to obtain the corrected actual construction efficiency.

[0135] This step, through the above regionalization, accurate correction, makes the final node construction simulation result not only retains the stability of the benchmark simulation, but also integrates the actual influence of dynamic parameters, which is more suitable for the true construction scene of complex nodes, and provides a reliable basis for construction scheme optimization and decision-making.

[0136] Through the above specific embodiments, the embodiments of the application achieve the following technical effects:

[0137] The application proposes a BIM-based dynamic simulation method for construction schemes of building complex nodes. First, the node BIM model of the target complex node is obtained, and the model is decomposed based on construction operability combined with node prior knowledge. The minimum construction unit that meets the standardized process constraints and can be repeatedly measured is extracted, and then the common base level containing material level information and process list information is defined. Then, the node BIM model is divided into grids based on the common base level, and the grid multi-dimensional feature vector is obtained. The grid is divided into multiple construction feature clusters combined with an unsupervised clustering algorithm, and the heterogeneous base unit is defined according to the construction feature cluster and the unit inherent parameter is marked. Then, the simulation target index and construction scheme parameter are obtained, and the correlation analysis group is formed by traversing and combining. The benchmark and dynamic construction parameter subsets are divided through correlation analysis to construct the two-part construction parameter set. At the same time, according to the dynamic construction parameter subset, the historical project or high-fidelity simulation prior sample data is collected, and after dimension cutting, the parameter sample value is taken as the independent variable, and the simulation target index is taken as the analysis object to model, and the node influence mode library is constructed. Then, the benchmark construction parameter subset is extracted based on the two-part construction parameter set, the node BIM model is cut according to the heterogeneous base unit to obtain the heterogeneous base BIM model, and after initialization, the construction simulation is performed to obtain the first-order benchmark simulation result. Finally, the node influence mode library is called to match the dynamic influence mode, the influence coefficient is calculated by inputting the true value of the dynamic parameter, the position mapping relationship is established combined with the model coordinate feature, the first-order benchmark simulation result is corrected by the influence coefficient, and the node construction simulation result is finally obtained.

[0138] The method provided by the embodiments of the application solves the problems of insufficient precision caused by rough model processing in traditional construction simulation of building complex nodes, inability to adapt to dynamic influence caused by undifferentiated parameter processing, and lack of targeted data support in simulation, and improves the accuracy, flexibility and reliability of the construction scheme simulation of complex nodes, provides scientific data support for construction scheme optimization and adjustment, resource allocation planning and construction risk prediction, and is suitable for construction simulation scenarios of various complex nodes in large complex building projects.

[0139] Embodiment two, as shown in FIG. 2, the construction simulation method for the complex node of the building is as follows: Figure 2As shown, based on the inventive concept of the BIM-based construction scheme dynamic simulation method provided in Embodiment One, the application also provides a BIM-based construction scheme dynamic simulation system, which specifically comprises:

[0140] The region division and unit definition module 01 is configured to perform adaptive division of construction regions based on multi-dimensional feature clustering on the node BIM model, and define heterogeneous base units based on the adaptive division results.

[0141] The construction parameter division module 02 is configured to perform dynamic division of construction scheme parameters based on influence modes according to the heterogeneous base units, to obtain a two-part construction parameter set, wherein the two-part construction parameter set includes a reference construction parameter subset and a dynamic construction parameter subset.

[0142] The two-stage dynamic simulation module 03 is configured to perform two-stage dynamic simulation of the construction scheme according to the two-part construction parameter set, in combination with the heterogeneous base units and the node BIM model, to obtain a node construction simulation result.

[0143] In one embodiment, the region division and unit definition module 01 is further configured to:

[0144] obtain a node BIM model of a target complex node, analyze and determine a common base level of the node BIM model, perform grid division on the node BIM model based on the common base level to obtain a grid BIM model, traverse to obtain multi-dimensional feature vectors of the grid BIM model, divide a plurality of the grid BIM models into a plurality of construction feature clusters in combination with an unsupervised clustering algorithm, define a plurality of the heterogeneous base units according to a plurality of the construction feature clusters, and mark unit inherent parameters of the heterogeneous base units.

[0145] Further, the region division and unit definition module 01 further comprises:

[0146] perform model decomposition on the node BIM model based on construction operability in combination with node prior knowledge of a target complex node, extract a minimum construction unit that meets standardized process constraints and can be repeatedly metered according to a model decomposition result, and define the common base level correspondingly; wherein the common base level includes coupled material level information and process list information.

[0147] Further, the region division and unit definition module 01 further comprises:

[0148] The unit inherent parameters at least include reference man-hours, reference manual configuration, reference mechanical configuration, and reference material consumption.

[0149] Further, the region division and unit definition module 01 further comprises:

[0150] The multi-dimensional features include at least geometric features, spatial features, process features, and logical features.

[0151] In one embodiment, the construction parameter two-division module 02 is further configured to:

[0152] Obtaining simulation target indicators of the target complex node, and analyzing construction scheme information to extract the construction scheme parameters, wherein the simulation target indicators include at least one of an engineering quantity indicator or an engineering cost indicator; traversing the construction scheme parameters, randomly combining the construction scheme parameters with the simulation target indicators to obtain a plurality of correlation analysis groups; performing correlation analysis on the plurality of correlation analysis groups to determine the construction scheme parameters of the correlation analysis groups that satisfy a preset significance constraint as the dynamic construction parameter subset; and inversely selecting the dynamic construction parameter subset and the construction scheme parameters to determine the benchmark construction parameter subset.

[0153] In one embodiment, the two-stage dynamic simulation module 03 is further configured to:

[0154] Extracting the benchmark construction parameter subset based on the two-division construction parameter set; randomly cutting the node BIM model according to the heterogeneous base units to obtain a heterogeneous base BIM model; and traversing and initializing a plurality of the heterogeneous base BIM models according to the benchmark construction parameter subset and performing construction simulation to obtain a first-order benchmark simulation result. Performing pattern matching and calling in the node influence pattern library based on the dynamic construction parameter subset to obtain a plurality of dynamic influence patterns; inputting true values of the dynamic construction parameter subset into the plurality of dynamic influence patterns to obtain a plurality of sets of simulation result influence coefficients; taking model coordinate features corresponding to the dynamic construction parameter subset as indexes to structure and output the plurality of sets of simulation result influence coefficients, and establishing a position mapping relationship with the node BIM model; and dynamically correcting the first-order benchmark simulation result based on the position mapping relationship and the plurality of sets of simulation result influence coefficients to obtain the node construction simulation result.

[0155] Further, the two-stage dynamic simulation module 03 further includes:

[0156] Collecting prior sample data based on the dynamic construction parameter subset, wherein the prior sample data includes at least one of historical project data or high-fidelity simulation data; dimensionally cutting the prior sample data based on the dynamic construction parameter subset; and taking sample values corresponding to the dynamic construction parameter subset in the dimensionally cut result as independent variables, and respectively taking a plurality of simulation target indicators as analysis objects to independently model to obtain a node influence pattern library of the target complex node.

[0157] It should be noted that the above-mentioned embodiment sequences of the present application are merely for description only, but not for representing the advantages and disadvantages of the embodiments. And the above-mentioned embodiments of the present specification have been described. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0158] The above only describes the preferred embodiments of the present application, and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0159] The specification and drawings are merely exemplary of the present application, and any and all modifications, variations, combinations or equivalents that are within the scope of the present application should be considered covered by the present application. Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A method for dynamic simulation of construction scheme of complex nodes of buildings based on BIM, characterized in that, The method comprises the following steps: Adaptive division of construction area based on multi-dimensional feature clustering is performed on a node BIM model, and heterogeneous base units are defined based on the adaptive division result; According to the heterogeneous base units, the construction scheme parameters are dynamically divided based on the influence mode, and a two-part construction parameter set is obtained, wherein the two-part construction parameter set comprises a benchmark construction parameter subset and a dynamic construction parameter subset; According to the two-part construction parameter set, two-stage dynamic simulation of the construction scheme is performed in combination with the heterogeneous base units and the node BIM model, and a node construction simulation result is obtained.

2. The BIM-based construction complex node construction plan dynamic simulation method of claim 1, wherein, Adaptive division of construction area based on multi-dimensional feature clustering is performed on a node BIM model, and heterogeneous base units are defined based on the adaptive division result, comprising: Obtain the node BIM model of the target complex node, analyze and determine the common base level of the node BIM model; Based on the common base level, the node BIM model is divided into a grid BIM model; Iteratively obtain the multi-dimensional feature vector of the grid BIM model, and combine the unsupervised clustering algorithm to divide a plurality of grid BIM models into a plurality of construction feature clusters; According to a plurality of construction feature clusters, a plurality of heterogeneous base units are defined, and the unit inherent parameters of the heterogeneous base units are marked. 3.The BIM-based construction scheme dynamic simulation method for a complex construction node of a building according to claim 1, wherein, Obtaining the node BIM model of the target complex node and analyzing and determining the common base level of the node BIM model, comprising: Based on the node prior knowledge of the target complex node, the model decomposition of the node BIM model is performed based on the construction operability; According to the model decomposition result, the minimum construction unit meeting the standardized process constraint and the repeatable measurement is extracted, and the common base level is defined correspondingly; The common base level comprises coupled material level information and process list information.

4. The BIM-based construction complex node construction plan dynamic simulation method of claim 2, wherein, The unit inherent parameters at least include benchmark man-hour, benchmark labor configuration, benchmark mechanical configuration and benchmark material consumption.

5. The BIM-based construction complex node construction plan dynamic simulation method of claim 1, wherein, The multi-dimensional features at least include geometric features, spatial features, process features and logical features.

6. The BIM-based construction complex node construction plan dynamic simulation method of claim 1, wherein, According to the heterogeneous base units, the construction scheme parameters are dynamically divided based on the influence mode, and a two-part construction parameter set is obtained, wherein the two-part construction parameter set comprises a benchmark construction parameter subset and a dynamic construction parameter subset, comprising: Obtain the simulation target index of the target complex node, and analyze the construction scheme information to extract the construction scheme parameters, wherein the simulation target index comprises at least one of the engineering quantity index and the engineering cost index; Iteratively obtain the construction scheme parameters, and randomly combine the simulation target index to obtain a plurality of correlation analysis groups; Correlation analysis is performed on a plurality of correlation analysis groups, and the construction scheme parameters of a plurality of correlation analysis groups satisfying the preset significance constraint are determined as the dynamic construction parameter subset; The benchmark construction parameter subset is determined by combining the dynamic construction parameter subset and the construction scheme parameters.

7. The BIM-based construction complex node construction plan dynamic simulation method of claim 1, wherein, Before the two-stage dynamic simulation of the construction scheme in combination with the heterogeneous base units and the node BIM model according to the two-part construction parameter set, comprising: According to the dynamic construction parameter subset, prior sample data is collected, wherein the prior sample data at least includes one of historical project data and high-fidelity simulation data; The prior sample data is dimensionally cut based on the dynamic construction parameter subset; The sample values corresponding to the dynamic construction parameter subset in the dimensionally cut result are taken as independent variables, and a plurality of simulation target indexes are taken as analysis objects to independently model, so as to obtain a node influence mode library of the target complex node.

8. The BIM-based construction complex node construction plan dynamic simulation method of claim 1, wherein, According to the two-stage dynamic simulation module, two-stage dynamic simulation is performed on the construction scheme based on the two-part construction parameter set, the heterogeneous base unit and the node BIM model, and a node construction simulation result is obtained. Based on the two-part construction parameter set, the reference construction parameter subset is extracted; According to the heterogeneous base unit, the node BIM model is randomly cut to obtain a heterogeneous base BIM model; According to the reference construction parameter subset, a plurality of the heterogeneous base BIM models are initialized and simulated to obtain a first-order reference simulation result.

9. The BIM-based construction complex node construction plan dynamic simulation method of claim 7, wherein, According to the two-stage dynamic simulation module, two-stage dynamic simulation is performed on the construction scheme based on the two-part construction parameter set, the heterogeneous base unit and the node BIM model, and a node construction simulation result is obtained. Based on the dynamic construction parameter subset, mode matching and calling are performed in the node influence mode library to obtain a plurality of dynamic influence modes; The true values of the dynamic construction parameter subset are respectively input into the plurality of dynamic influence modes to obtain a plurality of simulation result influence coefficients; Taking the model coordinate features corresponding to the dynamic construction parameter subset as indexes, the plurality of simulation result influence coefficients are structured and output, and a position mapping relationship with the node BIM model is established; According to the position mapping relationship, the first-order reference simulation result is dynamically corrected by the plurality of simulation result influence coefficients to obtain the node construction simulation result.

10. A BIM-based construction scheme dynamic simulation system for a complex node of a building, characterized in that, The system is used to execute the BIM-based construction scheme dynamic simulation method of a complex node of a building according to any one of claims 1-9, and the system comprises: A region division and unit definition module is used to adaptively divide a node BIM model based on multi-dimensional feature clustering, and define a heterogeneous base unit based on the adaptive division result; A construction parameter two-part module is used to dynamically divide construction scheme parameters based on influence modes according to the heterogeneous base unit, to obtain a two-part construction parameter set, wherein the two-part construction parameter set includes a reference construction parameter subset and a dynamic construction parameter subset; A two-stage dynamic simulation module is used to perform two-stage dynamic simulation on a construction scheme based on the two-part construction parameter set, the heterogeneous base unit and the node BIM model, to obtain a node construction simulation result.

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