Concrete fabricated building construction method based on BIM

Abstract

The invention relates to the technical field of fabricated buildings, in particular to a BIM (Building Information Modeling)-based concrete fabricated building construction method, which comprises the following steps of: S1, simulating stress change in a construction process by combining finite element analysis and construction stage modeling on the basis of a BIM model, and obtaining a dynamic simulation analysis result; s2, based on a dynamic simulation analysis result, deploying an intelligent monitoring and error compensation system in an actual construction site, and monitoring the real-time condition of the component to obtain monitoring data; when the system is used, stress distribution and error compensation in the construction process are optimized in real time through the dynamic simulation analysis and intelligent monitoring technology, the construction precision can be improved, and the problems of error accumulation and stress concentration in a traditional construction method are solved; potential safety hazards caused by node dislocation and inaccurate component installation are reduced, and the node design library is established, so that the design period is greatly shortened, manual intervention is reduced, and the probability of design and construction conflicts is reduced.

Description

Technical Field

[0001] This invention relates to the field of prefabricated building technology, and specifically to a BIM-based construction method for prefabricated concrete buildings. Background Technology

[0002] Prefabricated buildings refer to a structural form in which components such as floor slabs, wall panels, and stairs are prefabricated in a factory and then transported to the construction site to be assembled into a complete building through bolts, welding, and other methods. Its core concept is "building houses like building cars," realizing industrialized production of buildings.

[0003] The patent with publication number CN113882503A describes in its specification that "This invention relates to the field of prefabricated building technology, specifically a BIM-based concrete prefabricated building construction method, including the following steps: S1: Data from on-site surveys are collected, and a building model is created using BIM modeling software; S2: Support columns are constructed on-site based on the model data, and PCF panels are fabricated using molds; S3: The PCF panels are connected to the support columns and bonded with concrete grouting; S4: The data of the spliced ​​PCF panels is measured; S5: The on-site measurement data is compared with the building model data, and erroneous PCF panels are corrected; S6: The bonding concrete is allowed to solidify. In this invention, the steel bars on the PFC panels are prefabricated and fixed in length during connection, so that the steel bars will not be squeezed against the main body of the PFC panels, avoiding deviations in the PFC panels and improving the accuracy of PFC construction and installation." Although the above technology utilizes BIM... IM modeling enables 3D visualization review, and innovations include prefabricated fixed rebar length, the introduction of grout guiding mechanisms, and the use of limiting structures to buffer rebar tension. In addition, hydraulic equipment is used to correct errors, thereby improving construction quality and solving the problems of large installation errors and unstable connections in traditional PCF panels. However, the stress analysis of the above technologies in prefabricated concrete building construction relies too heavily on empirical formulas and static calculation models, failing to fully consider the impact of dynamic variables such as hoisting sequence and temporary support removal on the stress of components during construction. This results in a large deviation between the actual stress distribution and the theoretical value, which can easily lead to safety hazards such as crack propagation or joint failure. At the same time, accuracy control mainly relies on manual sampling and post-event correction, which is not only inefficient but also makes it difficult to achieve real-time monitoring and compensation of millimeter-level errors, resulting in excessive cumulative assembly errors. Furthermore, the standardization of joint design is insufficient, and there is a lack of a unified parametric model library. Designers need to recalculate the connection structure for each project, which not only prolongs the design cycle but also easily leads to rework due to design conflicts.

[0004] In conclusion, developing a BIM-based construction method for prefabricated concrete buildings remains a critical issue that urgently needs to be addressed in the field of prefabricated building technology. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing technologies. While these technologies utilize BIM modeling for 3D visualization and review, and innovate by prefabricating and fixing the length of reinforcing bars, introducing grout guiding mechanisms, and using limiting structures to buffer the tension of reinforcing bars, and by correcting errors using hydraulic equipment to improve construction quality and solve the problems of large installation errors and unstable connections in traditional PCF panels, the stress analysis in prefabricated concrete building construction relies excessively on empirical formulas and static calculation models. They fail to fully consider the impact of dynamic variables such as hoisting sequence and temporary support removal on the stress on components during construction, leading to significant deviations between actual stress distribution and theoretical values. This can easily cause safety hazards such as crack propagation or joint failure. Furthermore, precision control mainly relies on manual sampling and post-construction correction, which is not only inefficient but also makes it difficult to achieve real-time monitoring and compensation for millimeter-level errors, resulting in excessive cumulative assembly errors. Additionally, the standardization of joint design is insufficient, lacking a unified parametric model library. Designers need to recalculate the connection structure for each project, extending the design cycle and easily leading to rework due to design conflicts.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] This invention provides a BIM-based method for constructing prefabricated concrete buildings, comprising the following steps: S1, based on the BIM model, combined with finite element analysis and construction stage modeling, simulating stress changes during construction to obtain dynamic simulation analysis results;

[0008] S2. Based on the results of dynamic simulation analysis, an intelligent monitoring and error compensation system is deployed at the actual construction site to monitor the real-time status of components and obtain monitoring data.

[0009] S3. Utilize BIM models combined with generative design methods to establish a node design library. By inputting dynamic simulation analysis results and monitoring data, node design schemes can be automatically generated.

[0010] S4. Carry out construction according to the node design scheme, and conduct real-time simulation based on dynamic simulation analysis results and monitoring data to continuously update the node design scheme.

[0011] S5. During the later stages of construction based on the continuously updated node design scheme, accuracy testing is performed using an accuracy testing system.

[0012] Furthermore, in step S1, the method for simulating stress changes during construction and obtaining dynamic simulation analysis results based on the BIM model combined with finite element analysis and construction stage modeling is as follows:

[0013] The BIM model includes structural components, nodes, connections, construction parameters, geometric information, material properties, component specifications, and construction equipment information for the building construction. Based on the BIM model, a finite element analysis model is constructed. Information from the BIM model is imported into the finite element analysis model, dividing the building structure into discrete finite element elements and specifying the material properties of each element. Finite element analysis is performed on each node and component according to the loads of the construction phase. Combined with the actual conditions during construction, a construction phase model is established to simulate the dynamic process of different construction phases. The construction process is simulated step-by-step using Revit+Dynamo simulation software, and the results are imported into the finite element analysis for coupled calculations. Based on the above finite element... The analysis model and construction phase modeling are integrated to perform dynamic simulation analysis, simulating conditions including but not limited to stress, displacement, deformation, and vibration during the construction process. For the stress distribution of components during hoisting, changes in the support system, and the gradual accumulation of construction loads, different time steps are set to simulate stress changes during hoisting, fixing, and adjustment processes. This obtains the dynamic changes in stress, deformation, and mechanical behavior at each stage of construction. The stress distribution and deformation of the structure at different construction stages are then analyzed, focusing on stress concentration, structural instability, and excessive deformation. The dynamic simulation analysis results are obtained, and after completion, the results are verified using actual data from the construction site. Finite element analysis model: in The computational domain represents the entire building structure. It represents a combination of n finite element elements e i Composition, e i Let K represent the i-th finite element. i It is the element stiffness matrix under construction stage i. Let Q be the element volume of construction stage i, Q be the shape function derivative matrix, and E be the material stiffness matrix. W It is the transpose of the matrix. This indicates integration over the unit region, modeling during the construction phase: in It is the construction phase T i The stress under I -1 It is used to describe the overall stiffness characteristics of a structure. It is the construction phase T i External load vector at time step, Revit+Dynamo simulation software: Among them O n It is the displacement at step n, O n+1 It is the displacement at step n+1. It is the speed at step n. Δt is the acceleration at step n, and Δt is the time step.

[0014] Furthermore, in step S2, based on the dynamic simulation analysis results, an intelligent monitoring and error compensation system is deployed at the actual construction site to monitor the real-time status of the components and obtain monitoring data. The method is as follows:

[0015] The construction site deploys sensors, data acquisition units, and a compensation system. Based on the dynamic simulation analysis results of the construction phase, key construction nodes and monitoring targets are determined. The dynamic simulation analysis results serve as the basis for setting up the compensation system and deploying sensors. Real-time displacement monitoring is achieved through laser scanners to acquire component position and deviation data. Strain gauges monitor the stress distribution and changes of components in real time. IMUs monitor changes in the component's attitude during hoisting. Temperature and humidity sensors monitor the temperature and humidity of the surrounding environment. The monitoring data obtained by the sensors are transmitted to the data processing platform via wireless networks, IoT devices, and / or wired networks deployed on-site. Displacement monitoring: in The displacement vector is predicted by the simulation.

[0016] Here, ΔP is the actual displacement vector measured on-site, and ΔP is the displacement error vector. Strain gauges are also present. in Here, A is the stress vector, and A is the elastic matrix of the material.

[0017] This is the strain vector.

[0018] Furthermore, in step S2, based on the dynamic simulation analysis results, an intelligent monitoring and error compensation system is deployed at the actual construction site to monitor the real-time status of the components and obtain monitoring data. The method is as follows:

[0019] The data processing platform uses cloud computing and edge computing technologies to analyze sensor data in real time and compares the sensor data with dynamic simulation analysis results to detect any deviations from the simulation model during actual construction. When significant errors and / or deviations occur, the error compensation system uses a dynamic adjustment method to compensate. The compensation process updates data synchronously and adjusts construction strategies and / or operating methods through real-time feedback. Monitoring data is stored on the cloud platform, forming a long-term data record. Error compensation system: Where S(t) is the adjustment output of the error compensation system, ΔF represents the deviation between the actual measured data and the simulation calculation data during construction, and D a It is the proportional gain coefficient, G i It is the integral gain coefficient, G d It is the differential gain coefficient. It is the integral term of the error. It is the rate of change of the error.

[0020] Furthermore, in step S3, a node design library is established using the BIM model combined with generative design methods. The method for automatically generating node design schemes by inputting dynamic simulation analysis results and monitoring data is as follows:

[0021] Using BIM technology, a 3D digital model of the entire building and its components is constructed. Key structural nodes, including but not limited to connection nodes, support nodes, and intersection nodes, are modeled. Node models include, but are not limited to, node geometry, material properties, and construction parameters. Within the BIM model, node models are managed as independent sub-modules, providing foundational data for subsequent generative design and dynamic analysis. Based on generative design algorithms, a standardized, modular node design library is established using the BIM model's node models, including but not limited to defining design parameters, writing generation rules, and setting optimization objectives. The generative design algorithm performs operations, including but not limited to deformation and topology optimization, on existing standardized nodes in the node design library to automatically generate node design schemes adapted to different needs. Generative design algorithm: in To optimize the objective function, J k J is a structural safety evaluation index. L J is a material utilization rate indicator. m For ease of construction, h1, h2, and h3 are weighting coefficients. Deformation and topology optimization: Among them G opt This represents the optimized node design scheme, where φ is the design space for the node. Let γ represent the stress distribution inside the node, c(G) represent the material volume of the node, and γ represent the adjustment factor for material utilization.

[0022] Furthermore, in step S3, a node design library is established using the BIM model combined with generative design methods. The method for automatically generating node design schemes by inputting dynamic simulation analysis results and monitoring data is as follows:

[0023] Using dynamic simulation analysis results as input for node design schemes helps identify, but is not limited to, the stress conditions and deformation range of nodes during actual construction and use. Monitoring data will serve as dynamic input data, feeding back into the node design schemes to help assess whether there are any unexpected stress states in the nodes during actual construction, thereby influencing design modifications. The dynamic simulation analysis results and monitoring data will update the node design schemes in the node design library in real time, generating stress analysis of node design schemes that meet construction requirements, structural safety, and construction efficiency requirements. Where [Z] is the global stiffness matrix. For displacement vectors, Update the node design scheme to reflect the external force vector: in Design parameters for the updated nodes. Here are the original node design parameters, and η is the adaptive adjustment coefficient. This is to calculate the error between the actual measurement and the actual measurement.

[0024] Furthermore, in step S4, construction is carried out according to the node design scheme, and real-time simulation is performed based on the dynamic simulation analysis results and monitoring data to continuously update the node design scheme.

[0025] Confirm the final version of the node design scheme. The node design scheme includes, but is not limited to, the node geometry, structural connection method, construction sequence, construction method, material selection, and construction technology. The construction team matches the construction preparation according to the node design scheme. Construction preparation includes, but is not limited to, the preparation of construction drawings, the procurement and transportation of construction materials, training on construction technology and node connection schemes, construction equipment, and construction tools. During the construction process, based on real-time monitoring data, simulate the real-time changes in stress on different nodes during hoisting, installation, and fixing, and perform simulation analysis on the current state of the nodes. Construction preparation stage: in Materials are ready. It is in the state of construction drawings. To ensure the availability of construction equipment, Construction tools status. Conditions for commencing construction to ensure the progress of construction training: in It is an indicator for measuring the progress of construction preparation. This indicates the evaluation results of all construction preparation items. This represents the weight coefficient of the i-th preparation item. This represents the state of the i-th preparation item. This is a preset value used for stress analysis during construction: Where ι(t) is the instantaneous stress at the node, For instantaneous external force, Let κ(t) be the area under stress, κ(t) be the instantaneous strain, and I be the elastic modulus of the material.

[0026] Furthermore, in step S4, construction is carried out according to the node design scheme, and real-time simulation is performed based on the dynamic simulation analysis results and monitoring data to continuously update the node design scheme.

[0027] Real-time monitoring data and dynamic simulation analysis results are used to identify potential problems and / or parts that need adjustment in the node design, re-evaluate the feasibility of the current node design, calculate improvement plans, and automatically generate node design schemes that conform to the actual construction conditions using generative design algorithms. The node design schemes are continuously updated and shared with the construction team through the BIM model. Construction personnel make on-site adjustments, perform precise installations, and provide on-site feedback based on the updated design schemes.

[0028] Furthermore, in step S5, when construction progresses to the later stages based on the continuously updated node design scheme, the method for performing accuracy testing using an accuracy testing system is as follows:

[0029] A precision verification system is deployed to verify the accuracy of node design schemes during the later stages of construction. The core tools of this system include LiDAR and computer vision technology. Based on the layout of the construction site and the distribution of nodes, a LiDAR scanning area is set up, a high-resolution camera is deployed, and auxiliary light sources are provided. The LiDAR and high-resolution camera are connected to a cloud platform. The LiDAR calculates the distance between the node surface and the surrounding space by emitting laser beams and receiving reflected beams from multiple angles on the construction site. The data obtained from the LiDAR scans is processed to form a high-precision 3D point cloud model. This 3D point cloud model is then compared with the updated BIM node design model to calculate the actual size, angle, and positional deviation of the nodes. (3D point cloud model:) in These are the actual position, size, and angle of the node. These are the design parameters of the nodes. It is the node position error. It is a node size error. It is the node angle error.

[0030] Furthermore, in step S5, when construction progresses to the later stages based on the continuously updated node design scheme, the method for performing accuracy testing using an accuracy testing system is as follows:

[0031] Using computer vision algorithms, images captured by high-resolution cameras are processed to compare the actual node shapes with the node design schemes, identify deviations, and demonstrate the differences between the actual construction status and the design scheme. Specific numerical values ​​of accuracy errors are provided. Error data from LiDAR and high-resolution cameras are combined to form an accuracy analysis report. This report includes, but is not limited to, node geometric shape deviations, deviation type analysis, and error location calibration. The construction team adjusts construction accuracy based on the accuracy analysis report. (Computer vision algorithm:) in It is the difference between the actual node shape in the image and the design scheme. It is the pixel value at the actual node location in the image. It is the pixel value at the location of the design scheme in the image, with the error totaled as follows: Where D′ total It is the combined error, D′ laser The error is caused by the lidar, D′ vision The error is caused by computer vision.

[0032] Beneficial effects

[0033] Compared with known public technologies, the technical solution provided by this invention has the following beneficial effects:

[0034] When in use, this invention uses dynamic simulation analysis and intelligent monitoring technology to optimize stress distribution and error compensation in real time during construction, which helps to improve construction accuracy and avoid the problems of error accumulation and stress concentration in traditional construction methods. Through the intelligent error compensation system, it reduces safety hazards caused by node misalignment and inaccurate component installation. By establishing a node design library, it helps to significantly shorten the design cycle, reduce manual intervention, and lower the probability of design and construction conflicts. Attached Figure Description

[0035] Figure 1 This is a flowchart of a BIM-based prefabricated concrete building construction method according to the present invention. Detailed Implementation

[0036] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0037] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but includes other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0038] The present invention will now be described in further detail with reference to the accompanying drawings:

[0039] Example:

[0040] like Figure 1 As shown, the present invention provides a BIM-based concrete prefabricated building construction method, including the following steps: S1, based on the BIM model combined with finite element analysis and construction stage modeling, simulate the stress changes during the construction process and obtain dynamic simulation analysis results;

[0041] Furthermore, in step S1, the method for simulating stress changes during construction and obtaining dynamic simulation analysis results based on the BIM model combined with finite element analysis and construction stage modeling is as follows:

[0042] The BIM model includes structural components, nodes, connections, construction parameters, geometric information, material properties, component specifications, and construction equipment information for the building construction. Based on the BIM model, a finite element analysis model is constructed. Information from the BIM model is imported into the finite element analysis model, dividing the building structure into discrete finite element elements and specifying the material properties of each element. Finite element analysis is performed on each node and component according to the loads of the construction phase. Combined with the actual conditions during construction, a construction phase model is established to simulate the dynamic process of different construction phases. The construction process is simulated step-by-step using Revit+Dynamo simulation software, and the results are imported into the finite element analysis for coupled calculations. Based on the above finite element... The analysis model and construction phase modeling are integrated to perform dynamic simulation analysis, simulating conditions including but not limited to stress, displacement, deformation, and vibration during the construction process. For the stress distribution of components during hoisting, changes in the support system, and the gradual accumulation of construction loads, different time steps are set to simulate stress changes during hoisting, fixing, and adjustment processes. This obtains the dynamic changes in stress, deformation, and mechanical behavior at each stage of construction. The stress distribution and deformation of the structure at different construction stages are then analyzed, focusing on stress concentration, structural instability, and excessive deformation. The dynamic simulation analysis results are obtained, and after completion, the results are verified using actual data from the construction site. Finite element analysis model: in The computational domain represents the entire building structure. It represents a combination of n finite element elements e i Composition, e i Let K represent the i-th finite element. i It is the element stiffness matrix under construction stage i. Let Q be the element volume of construction stage i, Q be the shape function derivative matrix, and E be the material stiffness matrix. W It is the transpose of the matrix. This indicates integration over the unit region, modeling during the construction phase: in It is the construction phase T i The stress under I -1 It is used to describe the overall stiffness characteristics of a structure. It is the construction phase T i External load vector at time step, Revit+Dynamo simulation software: Among them O n It is the displacement at step n, O n+1 It is the displacement at step n+1. It is the speed at step n. Δt is the acceleration at step n, and Δt is the time step.

[0043] In this embodiment, stress distribution is predicted before construction to reduce structural risks, improve construction feasibility, identify potential structural instability and stress concentration hazards in advance, avoid safety accidents during construction, and dynamically adjust construction strategies by combining simulation data with actual monitoring data to improve accuracy. Simulation is used to optimize the construction sequence, reduce trial and error costs, and accelerate construction progress.

[0044] S2. Based on the results of dynamic simulation analysis, an intelligent monitoring and error compensation system is deployed at the actual construction site to monitor the real-time status of components and obtain monitoring data.

[0045] Furthermore, in step S2, based on the dynamic simulation analysis results, an intelligent monitoring and error compensation system is deployed at the actual construction site to monitor the real-time status of the components and obtain monitoring data. The method is as follows:

[0046] The construction site deploys sensors, data acquisition units, and a compensation system. Based on the dynamic simulation analysis results of the construction phase, key construction nodes and monitoring targets are determined. The dynamic simulation analysis results serve as the basis for setting up the compensation system and deploying sensors. Real-time displacement monitoring is achieved through laser scanners to acquire component position and deviation data. Strain gauges monitor the stress distribution and changes of components in real time. IMUs monitor changes in the component's attitude during hoisting. Temperature and humidity sensors monitor the temperature and humidity of the surrounding environment. The monitoring data obtained by the sensors are transmitted to the data processing platform via wireless networks, IoT devices, and / or wired networks deployed on-site. Displacement monitoring: in The displacement vector is predicted by the simulation.

[0047] Here, ΔP is the actual displacement vector measured on-site, and ΔP is the displacement error vector. Strain gauges are also present. in Here, A is the stress vector, and A is the elastic matrix of the material.

[0048] This is the strain vector.

[0049] Furthermore, in step S2, based on the dynamic simulation analysis results, an intelligent monitoring and error compensation system is deployed at the actual construction site to monitor the real-time status of the components and obtain monitoring data. The method is as follows:

[0050] The data processing platform uses cloud computing and edge computing technologies to analyze sensor data in real time and compares the sensor data with dynamic simulation analysis results to detect any deviations from the simulation model during actual construction. When significant errors and / or deviations occur, the error compensation system uses a dynamic adjustment method to compensate. The compensation process updates data synchronously and adjusts construction strategies and / or operating methods through real-time feedback. Monitoring data is stored on the cloud platform, forming a long-term data record. Error compensation system: Where S(t) is the adjustment output of the error compensation system, ΔF represents the deviation between the actual measured data and the simulation calculation data during construction, and D a It is the proportional gain coefficient, G i It is the integral gain coefficient, G d It is the differential gain coefficient. It is the integral term of the error. It is the rate of change of the error.

[0051] In this embodiment, real-time monitoring and error compensation reduce construction errors, which is conducive to the precise installation of components. Monitoring data on stress, displacement, and hoisting posture allows for timely detection of anomalies and prevention of safety accidents. Adjusting construction methods based on real-time data improves construction efficiency, reduces rework costs, and stores long-term monitoring data to provide optimization references for subsequent projects, thereby enhancing the level of intelligent construction in the future.

[0052] S3. Utilize BIM models combined with generative design methods to establish a node design library. By inputting dynamic simulation analysis results and monitoring data, node design schemes can be automatically generated.

[0053] Furthermore, in step S3, a node design library is established using the BIM model combined with generative design methods. The method for automatically generating node design schemes by inputting dynamic simulation analysis results and monitoring data is as follows:

[0054] Using BIM technology, a 3D digital model of the entire building and its components is constructed. Key structural nodes, including but not limited to connection nodes, support nodes, and intersection nodes, are modeled. Node models include, but are not limited to, node geometry, material properties, and construction parameters. Within the BIM model, node models are managed as independent sub-modules, providing foundational data for subsequent generative design and dynamic analysis. Based on generative design algorithms, a standardized, modular node design library is established using the BIM model's node models, including but not limited to defining design parameters, writing generation rules, and setting optimization objectives. The generative design algorithm performs operations, including but not limited to deformation and topology optimization, on existing standardized nodes in the node design library to automatically generate node design schemes adapted to different needs. Generative design algorithm: in To optimize the objective function, J k J is a structural safety evaluation index. L J is a material utilization rate indicator. m For ease of construction, h1, h2, and h3 are weighting coefficients. Deformation and topology optimization: Among them G opt This represents the optimized node design scheme, where φ is the design space for the node. Let γ represent the stress distribution inside the node, c(G) represent the material volume of the node, and γ represent the adjustment factor for material utilization.

[0055] Furthermore, in step S3, a node design library is established using the BIM model combined with generative design methods. The method for automatically generating node design schemes by inputting dynamic simulation analysis results and monitoring data is as follows:

[0056] Using dynamic simulation analysis results as input for node design schemes helps identify, but is not limited to, the stress conditions and deformation range of nodes during actual construction and use. Monitoring data will serve as dynamic input data, feeding back into the node design schemes to help assess whether there are any unexpected stress states in the nodes during actual construction, thereby influencing design modifications. The dynamic simulation analysis results and monitoring data will update the node design schemes in the node design library in real time, generating stress analysis of node design schemes that meet construction requirements, structural safety, and construction efficiency requirements. Where [Z] is the global stiffness matrix. For displacement vectors, Update the node design scheme to reflect the external force vector: in Design parameters for the updated nodes. Here are the original node design parameters, and η is the adaptive adjustment coefficient. This is to calculate the error between the actual measurement and the actual measurement.

[0057] In this embodiment, dynamic optimization design based on real-time monitoring data and simulation analysis helps reduce construction errors. Topology optimization reduces material waste and improves the economy and sustainability of construction. Dynamically updating node design schemes helps the design conform to the actual conditions of the construction site. Utilizing BIM and generative design methods improves the automation level of node design and helps reduce manual adjustment costs.

[0058] S4. Carry out construction according to the node design scheme, and conduct real-time simulation based on dynamic simulation analysis results and monitoring data to continuously update the node design scheme.

[0059] Furthermore, in step S4, construction is carried out according to the node design scheme, and real-time simulation is performed based on the dynamic simulation analysis results and monitoring data to continuously update the node design scheme.

[0060] Confirm the final version of the node design scheme. The node design scheme includes, but is not limited to, the node geometry, structural connection method, construction sequence, construction method, material selection, and construction technology. The construction team matches the construction preparation according to the node design scheme. Construction preparation includes, but is not limited to, the preparation of construction drawings, the procurement and transportation of construction materials, training on construction technology and node connection schemes, construction equipment, and construction tools. During the construction process, based on real-time monitoring data, simulate the real-time changes in stress on different nodes during hoisting, installation, and fixing, and perform simulation analysis on the current state of the nodes. Construction preparation stage: in Materials are ready. It is in the state of construction drawings. To ensure the availability of construction equipment, Construction tools status. Conditions for commencing construction to ensure the progress of construction training: in It is an indicator for measuring the progress of construction preparation. This indicates the evaluation results of all construction preparation items. This represents the weight coefficient of the i-th preparation item. This represents the state of the i-th preparation item. This is a preset value used for stress analysis during construction: Where ι(t) is the instantaneous stress at the node, For instantaneous external force, Let κ(t) be the area under stress, κ(t) be the instantaneous strain, and I be the elastic modulus of the material.

[0061] Furthermore, in step S4, construction is carried out according to the node design scheme, and real-time simulation is performed based on the dynamic simulation analysis results and monitoring data to continuously update the node design scheme.

[0062] Real-time monitoring data and dynamic simulation analysis results are used to identify potential problems and / or parts that need adjustment in the node design, re-evaluate the feasibility of the current node design, calculate improvement plans, and automatically generate node design schemes that conform to the actual construction conditions using generative design algorithms. The node design schemes are continuously updated and shared with the construction team through the BIM model. Construction personnel make on-site adjustments, perform precise installations, and provide on-site feedback based on the updated design schemes.

[0063] In this embodiment, by comparing stress analysis and monitoring data, it is beneficial to adjust the construction plan, reduce deviation and error rate, automatically update the node design plan, reduce rework caused by unsuitability to site conditions, accelerate the construction progress, and dynamically adjust the node design plan to adapt to complex construction environments, thereby improving the flexibility of the project. Real-time monitoring and simulation analysis results provide a scientific basis for construction decisions, thereby improving the level of intelligent construction management.

[0064] S5. When construction reaches the later stage based on the continuously updated node design scheme, accuracy testing is carried out through the accuracy testing system.

[0065] Furthermore, in step S5, when construction progresses to the later stages based on the continuously updated node design scheme, the method for performing accuracy testing using an accuracy testing system is as follows:

[0066] A precision verification system is deployed to verify the accuracy of node design schemes during the later stages of construction. The core tools of this system include LiDAR and computer vision technology. Based on the layout of the construction site and the distribution of nodes, a LiDAR scanning area is set up, a high-resolution camera is deployed, and auxiliary light sources are provided. The LiDAR and high-resolution camera are connected to a cloud platform. The LiDAR calculates the distance between the node surface and the surrounding space by emitting laser beams and receiving reflected beams from multiple angles on the construction site. The data obtained from the LiDAR scans is processed to form a high-precision 3D point cloud model. This 3D point cloud model is then compared with the updated BIM node design model to calculate the actual size, angle, and positional deviation of the nodes. (3D point cloud model:) in These are the actual position, size, and angle of the node. These are the design parameters of the nodes. It is the node position error. It is a node size error. It is the node angle error.

[0067] Furthermore, in step S5, when construction progresses to the later stages based on the continuously updated node design scheme, the method for performing accuracy testing using an accuracy testing system is as follows:

[0068] Using computer vision algorithms, images captured by high-resolution cameras are processed to compare the actual node shapes with the node design schemes, identify deviations, and demonstrate the differences between the actual construction status and the design scheme. Specific numerical values ​​of accuracy errors are provided. Error data from LiDAR and high-resolution cameras are combined to form an accuracy analysis report. This report includes, but is not limited to, node geometric shape deviations, deviation type analysis, and error location calibration. The construction team adjusts construction accuracy based on the accuracy analysis report. (Computer vision algorithm:) in It is the difference between the actual node shape in the image and the design scheme. It is the pixel value at the actual node location in the image. It is the pixel value at the location of the design scheme in the image, with the error totaled as follows: Where D′ total It is the combined error, D′ laser The error is caused by the lidar, D′ vision The error is caused by computer vision.

[0069] In this embodiment, error analysis and adjustment ensure that construction nodes meet design requirements, which helps reduce deviations. By reducing structural defects caused by accuracy issues, the safety of the building is improved. The accuracy analysis report provides long-term data support and a basis for future construction optimization.

[0070] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments.

[0071] Or equivalent substitutions can be made for some of the technical features; and these modifications or substitutions do not

[0072] This would cause the essence of the corresponding technical solution to deviate from the spirit and scope of the technical solutions in the various embodiments of this invention.

Claims

1. A BIM-based method for constructing prefabricated concrete buildings, characterized in that, Includes the following steps: S1. Based on the BIM model, combined with finite element analysis and construction stage modeling, the stress changes during the construction process are simulated to obtain dynamic simulation analysis results. S2. Based on the results of dynamic simulation analysis, an intelligent monitoring and error compensation system is deployed at the actual construction site to monitor the real-time status of components and obtain monitoring data. S3. Utilize BIM models combined with generative design methods to establish a node design library. By inputting dynamic simulation analysis results and monitoring data, node design schemes can be automatically generated. S4. Carry out construction according to the node design scheme, and conduct real-time simulation based on dynamic simulation analysis results and monitoring data to continuously update the node design scheme. S5. During the later stages of construction based on the continuously updated node design scheme, accuracy testing is performed using an accuracy testing system.

2. The BIM-based prefabricated concrete building construction method according to claim 1, characterized in that, In step S1, the method for simulating stress changes during construction and obtaining dynamic simulation analysis results based on the BIM model combined with finite element analysis and construction stage modeling is as follows: The BIM model includes structural components, nodes, connections, construction parameters, geometric information, material properties, component specifications, and construction equipment information for the building construction. Based on the BIM model, a finite element analysis model is constructed. Information from the BIM model is imported into the finite element analysis model, dividing the building structure into discrete finite element elements and specifying the material properties of each element. Finite element analysis is performed on each node and component according to the loads of the construction phase. Combined with the actual conditions during construction, a construction phase model is established to simulate the dynamic process of different construction phases. The construction process is simulated step-by-step using Revit+Dynamo simulation software, and the results are imported into the finite element analysis for coupled calculations. Based on the above finite element... The analysis model and construction phase modeling are integrated to perform dynamic simulation analysis, simulating conditions including but not limited to stress, displacement, deformation, and vibration during the construction process. For the stress distribution of components during hoisting, changes in the support system, and the gradual accumulation of construction loads, different time steps are set to simulate stress changes during hoisting, fixing, and adjustment processes. This obtains the dynamic changes in stress, deformation, and mechanical behavior at each stage of construction. The stress distribution and deformation of the structure at different construction stages are then analyzed, focusing on stress concentration, structural instability, and excessive deformation. The dynamic simulation analysis results are obtained, and after completion, the results are verified using actual data from the construction site. Finite element analysis model: in This represents the computational domain of the entire building structure. It represents n finite element elements e i Composition, e i Let K represent the i-th finite element. i It is the element stiffness matrix under construction stage i. Let Q be the element volume of construction stage i, Q be the shape function derivative matrix, and E be the material stiffness matrix. W It is the transpose of the matrix. This indicates integration over the unit region, modeling during the construction phase: in It is the construction phase T i The stress under I -1 It is used to describe the overall stiffness characteristics of a structure. It is the construction phase T i External load vector at time step, Revit+Dynamo simulation software: Among them O n It is the displacement at step n, O n+1 It is the displacement at step n+1. It is the speed at step n. Δt is the acceleration at step n, and Δt is the time step.

3. The BIM-based prefabricated concrete building construction method according to claim 2, characterized in that, In step S2, based on the dynamic simulation analysis results, an intelligent monitoring and error compensation system is deployed at the actual construction site to monitor the real-time status of the components and obtain monitoring data. The method is as follows: The construction site deploys sensors, data acquisition units, and a compensation system. Based on the dynamic simulation analysis results of the construction phase, key construction nodes and monitoring targets are determined. The dynamic simulation analysis results serve as the basis for setting up the compensation system and deploying sensors. Real-time displacement monitoring is achieved through laser scanners to acquire component position and deviation data. Strain gauges monitor the stress distribution and changes of components in real time. IMUs monitor changes in the component's attitude during hoisting. Temperature and humidity sensors monitor the temperature and humidity of the surrounding environment. The monitoring data obtained by the sensors are transmitted to the data processing platform via wireless networks, IoT devices, and / or wired networks deployed on-site. Displacement monitoring: in The displacement vector is predicted by the simulation. Here, ΔP is the actual displacement vector measured on-site, and ΔP is the displacement error vector. Strain gauges are also present. in Here, A is the stress vector, and A is the elastic matrix of the material. This is the strain vector.

4. The BIM-based prefabricated concrete building construction method according to claim 3, characterized in that, In step S2, based on the dynamic simulation analysis results, an intelligent monitoring and error compensation system is deployed at the actual construction site to monitor the real-time status of the components and obtain monitoring data. The method is as follows: The data processing platform uses cloud computing and edge computing technologies to analyze sensor data in real time and compares the sensor data with dynamic simulation analysis results to detect any deviations from the simulation model during actual construction. When significant errors and / or deviations occur, the error compensation system uses a dynamic adjustment method to compensate. The compensation process updates data synchronously and adjusts construction strategies and / or operating methods through real-time feedback. Monitoring data is stored on the cloud platform, forming a long-term data record. Error compensation system: Where S(t) is the adjustment output of the error compensation system, ΔF represents the deviation between the actual measured data and the simulation calculation data during construction, and D a It is the proportional gain coefficient, G i It is the integral gain coefficient, G d It is the differential gain coefficient. It is the integral term of the error. It is the rate of change of the error.

5. A BIM-based prefabricated concrete building construction method according to claim 4, characterized in that, In step S3, a node design library is established using a BIM model combined with generative design methods. The method for automatically generating node design schemes by inputting dynamic simulation analysis results and monitoring data is as follows: Using BIM technology, a 3D digital model of the entire building and its components is constructed. Key structural nodes, including but not limited to connection nodes, support nodes, and intersection nodes, are modeled. Node models include, but are not limited to, node geometry, material properties, and construction parameters. Within the BIM model, node models are managed as independent sub-modules, providing foundational data for subsequent generative design and dynamic analysis. Based on generative design algorithms, a standardized, modular node design library is established using the BIM model's node models, including but not limited to defining design parameters, writing generation rules, and setting optimization objectives. The generative design algorithm performs operations, including but not limited to deformation and topology optimization, on existing standardized nodes in the node design library to automatically generate node design schemes adapted to different needs. Generative design algorithm: in To optimize the objective function, J k J is a structural safety evaluation index. L J is a material utilization rate indicator. m For ease of construction, h1, h2, and h3 are weighting coefficients. Deformation and topology optimization: Among them G opt This represents the optimized node design scheme, where φ is the design space for the node. Let γ represent the stress distribution inside the node, c(G) represent the material volume of the node, and γ represent the adjustment factor for material utilization.

6. A BIM-based prefabricated concrete building construction method according to claim 5, characterized in that, In step S3, a node design library is established using a BIM model combined with generative design methods. The method for automatically generating node design schemes by inputting dynamic simulation analysis results and monitoring data is as follows: Using dynamic simulation analysis results as input for node design schemes helps identify, but is not limited to, the stress conditions and deformation range of nodes during actual construction and use. Monitoring data will serve as dynamic input data, feeding back into the node design schemes to help assess whether there are any unexpected stress states in the nodes during actual construction, thereby influencing design modifications. The dynamic simulation analysis results and monitoring data will update the node design schemes in the node design library in real time, generating stress analysis of node design schemes that meet construction requirements, structural safety, and construction efficiency requirements. Where [Z] is the global stiffness matrix. It is a displacement vector. Update the node design scheme to reflect the external force vector: in Design parameters for the updated nodes. Here are the original node design parameters, and η is the adaptive adjustment coefficient. To calculate the error between the actual measurement and the actual measurement.

7. A BIM-based prefabricated concrete building construction method according to claim 6, characterized in that, In step S4, construction is carried out according to the node design scheme, and real-time simulation is performed based on the dynamic simulation analysis results and monitoring data to continuously update the node design scheme. Confirm the final version of the node design scheme. The node design scheme includes, but is not limited to, the node geometry, structural connection method, construction sequence, construction method, material selection, and construction technology. The construction team matches the construction preparation according to the node design scheme. Construction preparation includes, but is not limited to, the preparation of construction drawings, the procurement and transportation of construction materials, training on construction technology and node connection schemes, construction equipment, and construction tools. During the construction process, based on real-time monitoring data, simulate the real-time changes in stress on different nodes during hoisting, installation, and fixing, and perform simulation analysis on the current state of the nodes. Construction preparation stage: in Materials are ready. It is in the state of construction drawings. To ensure the availability of construction equipment, Construction tools status. Conditions for commencing construction to ensure the progress of construction training: in It is an indicator for measuring the progress of construction preparation. This indicates the evaluation results of all construction preparation items. This represents the weight coefficient of the i-th preparation item. This represents the state of the i-th preparation item. This is a preset value used for stress analysis during construction: Where ι(t) is the instantaneous stress at the node, For instantaneous external force, Let κ(t) be the area under stress, κ(t) be the instantaneous strain, and I be the elastic modulus of the material.

8. A BIM-based prefabricated concrete building construction method according to claim 7, characterized in that, In step S4, construction is carried out according to the node design scheme, and real-time simulation is performed based on the dynamic simulation analysis results and monitoring data to continuously update the node design scheme. Real-time monitoring data and dynamic simulation analysis results are used to identify potential problems and / or parts that need adjustment in the node design, re-evaluate the feasibility of the current node design, calculate improvement plans, and automatically generate node design schemes that conform to the actual construction conditions using generative design algorithms. The node design schemes are continuously updated and shared with the construction team through the BIM model. Construction personnel make on-site adjustments, perform precise installations, and provide on-site feedback based on the updated design schemes.

9. A BIM-based prefabricated concrete building construction method according to claim 8, characterized in that, In step S5, when construction progresses to the later stages based on the continuously updated node design scheme, the method for performing accuracy testing using an accuracy testing system is as follows: A precision verification system is deployed to verify the accuracy of node design schemes during the later stages of construction. The core tools of this system include LiDAR and computer vision technology. Based on the layout of the construction site and the distribution of nodes, a LiDAR scanning area is set up, a high-resolution camera is deployed, and auxiliary light sources are provided. The LiDAR and high-resolution camera are connected to a cloud platform. The LiDAR calculates the distance between the node surface and the surrounding space by emitting laser beams and receiving reflected beams from multiple angles on the construction site. The data obtained from the LiDAR scans is processed to form a high-precision 3D point cloud model. This 3D point cloud model is then compared with the updated BIM node design model to calculate the actual size, angle, and positional deviation of the nodes. (3D point cloud model:) in These are the actual position, size, and angle of the node. These are the design parameters of the nodes. It is the node position error. It is a node size error. It is the node angle error.

10. A BIM-based prefabricated concrete building construction method according to claim 8, characterized in that, In step S5, when construction progresses to the later stages based on the continuously updated node design scheme, the method for performing accuracy testing using an accuracy testing system is as follows: Using computer vision algorithms, images captured by high-resolution cameras are processed to compare the actual node shapes with the node design schemes, identify deviations, and demonstrate the differences between the actual construction status and the design scheme. Specific numerical values ​​of accuracy errors are provided. Error data from LiDAR and high-resolution cameras are combined to form an accuracy analysis report. This report includes, but is not limited to, node geometric shape deviations, deviation type analysis, and error location calibration. The construction team adjusts construction accuracy based on the accuracy analysis report. (Computer vision algorithm:) in It is the difference between the actual node shape in the image and the design scheme. It is the pixel value at the actual node location in the image. It is the pixel value at the location of the design scheme in the image, with the error totaled as follows: Where D′ total It is the combined error, D′ laser The error is caused by the lidar, D′ vision The error is caused by computer vision.

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