Green intelligent construction method of steel structure engineering
By using BIM 3D modeling, finite element analysis, and big data prediction, the problems of resource waste and environmental pollution in traditional steel structure engineering construction have been solved, and an efficient and precise steel structure construction process has been achieved.
Patent Information
- Application Number
- CN202510251090.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-04
- Publication Date
- 2026-02-03
- Estimated Expiration
- 2045-03-04
AI Technical Summary
Traditional steel structure construction methods are large-scale, use a lot of materials, lack complete guiding models, and cannot predict potential risks in advance, resulting in resource waste and environmental pollution. At the same time, they cannot manufacture components that meet actual needs in a timely manner, reducing project quality and efficiency.
BIM is used for 3D modeling, finite element analysis is used to evaluate the overall frame structure, optimize the frame structure, produce prefabricated components, and big data analysis is used to predict potential risks and dynamically adjust the construction plan.
It provides a complete construction guidance model, reducing resource waste and environmental pollution, improving project quality and efficiency, and ensuring that prefabricated components accurately meet project requirements.
Smart Images

Figure CN120180806B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of engineering construction technology, and in particular to a green and intelligent construction method for steel structure engineering. Background Technology
[0002] With the global climate change and resource shortage issues becoming increasingly severe, the construction industry, as one of the major resource-consuming and carbon-emitting industries, urgently needs to transform towards a green and sustainable direction.
[0003] However, traditional steel structure engineering construction methods are large-scale, use a lot of materials, and lack complete guiding models and prefabricated components during construction. It is impossible to predict potential risks in advance, which can easily lead to waste of resources and environmental pollution. At the same time, steel structures usually have unique shapes and complex node designs. Traditional construction methods cannot manufacture relevant components in a timely manner according to actual needs, which greatly reduces the quality and efficiency of the project.
[0004] Therefore, this invention proposes a green and intelligent construction method for steel structure engineering. Summary of the Invention
[0005] This invention provides a green and intelligent construction method for steel structure engineering, which addresses the shortcomings of traditional steel structure engineering construction methods in the prior art, such as large-scale construction, large material consumption, lack of complete guiding models and prefabricated components during construction, inability to predict potential risks in advance, easy waste of resources and environmental pollution. At the same time, steel structures usually have unique shapes and complex node designs, and traditional construction methods cannot manufacture relevant components in a timely manner according to actual needs, which greatly reduces the quality and efficiency of the project.
[0006] On the one hand, the present invention provides a green and intelligent construction method for steel structure engineering, comprising:
[0007] Step 1: Obtain the overall design parameters of the steel structure project, use BIM to create a 3D model based on the overall design parameters, and obtain the overall frame structure based on the modeling results;
[0008] Step 2: Evaluate the stress performance of the overall frame structure through finite element analysis, and optimize the overall frame structure based on the evaluation results;
[0009] Step 3: Determine and produce prefabricated components by optimizing the frame structure, and conduct quality inspection on the prefabricated components based on quality inspection indicators;
[0010] Step 4: Collect environmental parameters and stress deformation parameters during the installation of precast components, conduct big data analysis based on the environmental parameters and stress deformation parameters, predict potential risks, and dynamically adjust the construction plan.
[0011] According to the green and intelligent construction method for steel structure engineering provided by the present invention, the overall design parameters of the steel structure engineering are obtained, including:
[0012] Obtain the function and user flow of the steel structure project, and determine the geometric parameters of the steel structure project based on the function and user flow.
[0013] The connection method of each node in the steel structure project is determined based on the aforementioned geometric parameters;
[0014] Obtain the material parameters for the steel structure project, and determine the mechanical properties of the material based on the material parameters;
[0015] The load parameters of the material are determined based on its mechanical properties and the environmental conditions surrounding the steel structure project.
[0016] The overall design parameters of the steel structure project are determined based on the connection methods of each node and the load parameters of the materials.
[0017] According to the present invention, a green and intelligent construction method for steel structure engineering is provided, which uses BIM to perform three-dimensional modeling based on overall design parameters, and obtains the overall frame structure based on the modeling results, including:
[0018] Use BIM to create project files, set project units, and define the project coordinate system and elevations;
[0019] Based on the overall design parameters and in conjunction with different tools in BIM, relevant components of the geometric model are created and generated.
[0020] Material properties and load information are added to the relevant components, and collision detection tests are performed.
[0021] Based on the test results, obtain the model view of the 3D model, analyze the model view of the 3D model, and obtain the overall framework structure based on the analysis results.
[0022] According to the present invention, a green and intelligent construction method for steel structure engineering is provided, which evaluates the stress performance of the overall frame structure through finite element analysis and optimizes the overall frame structure based on the evaluation results, including:
[0023] Obtain the element type, and based on the element type, mesh the geometric model using finite element analysis software to generate a finite element model;
[0024] A multi-dimensional analysis was performed on the finite element model.
[0025] Based on the analysis results, the response and stability of the steel structure project under different loads are obtained;
[0026] The stress distribution of the steel structure is determined based on its response and stability under different loads.
[0027] The stress performance of the overall frame structure is evaluated based on the stress distribution, potential problems in the steel structure project are identified based on the evaluation results, and the overall frame structure is optimized based on the potential problems.
[0028] According to the present invention, a green and intelligent construction method for steel structure engineering is provided, which determines and produces prefabricated components by optimizing the frame structure, including:
[0029] The optimal parameters for steel structure engineering are determined by optimizing the frame structure;
[0030] The optimal distribution of components is determined based on topology optimization, and the key force paths of the components are obtained based on the optimal distribution.
[0031] Based on the optimized parameters of the steel structure project and combined with the key stress paths of the components, design requirements and drawings for prefabricated components are generated.
[0032] Precast components are produced according to the design requirements and drawings of the precast components.
[0033] According to the present invention, a green and intelligent construction method for steel structure engineering is provided, which performs quality inspection on prefabricated components based on quality inspection indicators, including:
[0034] Multiple component quality inspection indicators are obtained based on the indicator monitoring database and in combination with the specific application scenarios of steel structure engineering.
[0035] The precast components are subjected to physical and chemical inspections based on the aforementioned multiple component quality inspection indicators;
[0036] The precast components are subjected to quality testing based on the inspection results.
[0037] According to the present invention, a green and intelligent construction method for steel structure engineering is provided, which collects environmental parameters and stress-deformation parameters during the installation of prefabricated components, performs big data analysis based on the environmental parameters and stress-deformation parameters, predicts potential risks, and dynamically adjusts the construction plan, including:
[0038] Environmental parameters and stress deformation parameters during the installation of precast components are collected using temperature sensors and structural health monitoring sensors.
[0039] A risk prediction model is constructed based on big data analysis technology and combined with machine learning algorithms, and the risk prediction is performed on environmental parameters and stress deformation parameters based on the risk prediction model.
[0040] Based on the risk prediction results, potential risks during the installation process are identified, and the construction plan is dynamically adjusted.
[0041] According to the green and intelligent construction method for steel structure engineering provided by the present invention, before obtaining the overall design parameters of the steel structure engineering, performing three-dimensional modeling using BIM based on the overall design parameters, and obtaining the overall frame structure based on the modeling results, the method further includes:
[0042] Determine the task information based on the overall design parameters, and obtain the task sequence corresponding to the task information;
[0043] Collect multiple sets of different environmental information, process the environmental information into data, and obtain environmental data sequences;
[0044] Multiple sets of environmental feature value sequences are generated based on the environmental data sequence, and the Pearson correlation coefficient between each set of environmental feature value sequences and the operation sequence is calculated.
[0045] Determine the sequence of first environmental feature values with the highest Pearson correlation coefficient, and obtain the sequence of second environmental feature values for the construction site;
[0046] The difference between the first environmental characteristic value series and the second environmental characteristic value series is compared, and the construction site is determined to meet the workability conditions based on the comparison results.
[0047] If so, determine the construction condition parameters for the steel structure project based on the overall design parameters and preset quality standards;
[0048] From the construction condition parameters, determine the primary and secondary condition parameters, and based on the primary and secondary condition parameters, determine the geographical requirements, human resource requirements, and technical requirements.
[0049] The terrain characteristics, manpower allocation characteristics, and technology types of the construction site are determined based on geographical, human resource, and technical requirements.
[0050] The engineering response strategies for terrain characteristics, manpower allocation characteristics, and technology types are determined respectively, and the construction characteristics of each type of technical construction personnel are determined based on the engineering response strategies.
[0051] The shape of the steel connection members in the steel structure project is determined based on the overall design parameters, and the unloading joint characteristics of the steel connection members are determined.
[0052] The construction plan is generated by combining the construction characteristics of various technical construction personnel with the unloading joint characteristics and the soil and rock mass characteristics of the construction site.
[0053] Compared with the prior art, the beneficial effects of this application are as follows:
[0054] By modeling steel structure engineering, evaluating the stress performance of the overall frame structure, producing prefabricated components and conducting quality inspections, and predicting potential risks, a complete guiding model and prefabricated components can be provided during the construction process. This allows for early prediction of potential risks, reducing resource waste and environmental pollution. At the same time, it is less susceptible to environmental impacts, and the prefabricated components can accurately meet the needs of the project, greatly improving the quality and efficiency of the project. Attached Figure Description
[0055] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0056] Figure 1 This is a flowchart illustrating the green and intelligent construction method for steel structure engineering provided in this embodiment of the invention.
[0057] Figure 2 This is a flowchart illustrating the process of obtaining the overall design parameters of a steel structure project, as provided in an embodiment of the present invention. Detailed Implementation
[0058] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.
[0059] Example 1:
[0060] This invention provides a green and intelligent construction method for steel structure engineering, such as... Figure 1 As shown, the method mainly includes the following steps:
[0061] Step 1: Obtain the overall design parameters of the steel structure project, use BIM to create a 3D model based on the overall design parameters, and obtain the overall frame structure based on the modeling results;
[0062] Step 2: Evaluate the stress performance of the overall frame structure through finite element analysis, and optimize the overall frame structure based on the evaluation results;
[0063] Step 3: Determine and produce prefabricated components by optimizing the frame structure, and conduct quality inspection on the prefabricated components based on quality inspection indicators;
[0064] Step 4: Collect environmental parameters and stress deformation parameters during the installation of precast components, conduct big data analysis based on the environmental parameters and stress deformation parameters, predict potential risks, and dynamically adjust the construction plan.
[0065] In this embodiment, the overall design parameters of the steel structure project can be: structural selection, mechanical performance parameters, and connection method.
[0066] In this embodiment, the steel structure project is a structure mainly made of steel, consisting of steel beams, steel columns, steel trusses and other components made of steel profiles and steel plates.
[0067] In this embodiment, finite element analysis divides a complex continuum into many small, simple elements that are interconnected by nodes. By performing local analysis on each element, the stress situation of each element is obtained.
[0068] In this embodiment, the stress performance of the overall frame structure refers to the mechanical behavior and response characteristics of its internal components when subjected to various external forces, including: internal forces (such as axial force, shear force, bending moment), deformation (such as displacement, rotation), stress distribution, and overall stability of the structure.
[0069] In this embodiment, the quality inspection indicators include: appearance quality inspection, dimensional deviation inspection, material performance inspection, and connection quality inspection.
[0070] In this embodiment, the environmental parameters during the installation of prefabricated components include: temperature, humidity, wind speed and direction, and site bearing capacity.
[0071] In this embodiment, the stress deformation parameters during the installation of prefabricated components include: lifting stress, installation stress, displacement and deformation, and bending deformation.
[0072] The beneficial effects of the above technical solution are as follows: by modeling the steel structure project, evaluating the stress performance of the overall frame structure, producing prefabricated components and conducting quality inspections, and predicting potential risks, it is possible to have a complete guiding model and prefabricated components during the construction process, predict potential risks in advance, reduce resource waste and environmental pollution, and at the same time, it is not easily affected by the environment. The prefabricated components can accurately meet the needs of the project, which greatly improves the quality and efficiency of the project.
[0073] Example 2:
[0074] Based on Example 1, this embodiment of the invention obtains the overall design parameters of a steel structure project, such as... Figure 2 As shown, it includes:
[0075] S01: Obtain the function and user flow of the steel structure project, and determine the geometric parameters of the steel structure project based on the function and user flow;
[0076] S02: Determine the connection method of each node in the steel structure project based on the geometric parameters;
[0077] S03: Obtain the material parameters of the steel structure project, and determine the mechanical properties of the material based on the material parameters;
[0078] S04: Determine the load parameters of the material based on its mechanical properties and the environmental conditions surrounding the steel structure project;
[0079] S05: Determine the overall design parameters of the steel structure project based on the connection methods of each node and the load parameters of the materials.
[0080] In this embodiment, the steel structure project can function as: a viewing platform, a sunshade, or a bridge.
[0081] In this embodiment, the geometric parameters of the steel structure project include: the dimensions of the structure, the cross-sectional shape (H-beam, round tube, square tube) and dimensions of the components.
[0082] In this embodiment, the connection methods for each node can be welding or bolting.
[0083] In this embodiment, the material parameters of the steel structure project include: material model and material type.
[0084] In this embodiment, the mechanical properties of the material include: strength and elastic modulus.
[0085] In this embodiment, the load parameters of the material include: dead load, live load, and seismic load.
[0086] In this embodiment, the overall design parameters of the steel structure project can be: structural selection, mechanical performance parameters, and connection method.
[0087] The beneficial effects of the above technical solution are: determining the connection method of each node of the steel structure project based on the geometric parameters of the steel structure project, and determining the overall design parameters of the steel structure project by combining the load parameters of the material obtained by combining the mechanical properties of the material, can ensure the accuracy of the three-dimensional model of the project. At the same time, it can accurately determine the load-bearing capacity and performance of the structure, reducing the uncertainty and complexity in the construction process.
[0088] Example 3:
[0089] Based on Example 2, this embodiment of the invention uses BIM for 3D modeling according to overall design parameters, and obtains the overall frame structure based on the modeling results, including:
[0090] Use BIM to create project files, set project units, and define the project coordinate system and elevations;
[0091] Based on the overall design parameters and in conjunction with different tools in BIM, relevant components of the geometric model are created and generated.
[0092] Material properties and load information are added to the relevant components, and collision detection tests are performed.
[0093] Based on the test results, obtain the model view of the 3D model, analyze the model view of the 3D model, and obtain the overall framework structure based on the analysis results.
[0094] In this embodiment, the unit of measurement can be: meter or millimeter.
[0095] In this embodiment, the relevant components for creating and generating the geometric model include:
[0096] Based on the design parameters, draw the main structural components (such as columns, beams, trusses, etc.).
[0097] Use the structural tools in BIM software to create steel structural components and specify the cross-sectional shape and dimensions.
[0098] Create welded or bolted nodes based on the node connection method.
[0099] Nodes can be generated using the node tool in BIM software or by using a custom family file.
[0100] Add auxiliary structures such as stairs, railings, and platforms, and create these components using the building tools in BIM software.
[0101] In this embodiment, the material properties can be: steel type and color.
[0102] In this embodiment, the load information can be: dead load or live load.
[0103] In this embodiment, the overall framework structure information includes:
[0104] Geometric information: the overall dimensions and shape of the structure, and the geometric parameters (length, cross-sectional dimensions, etc.) of each component.
[0105] Material information: The material type and properties of each component.
[0106] Node information: The connection method and detailed structure of the node.
[0107] Load information: Load distribution and transmission path of the structure.
[0108] Construction information: The sequence of component processing and installation.
[0109] The beneficial effects of the above technical solution are: using BIM for three-dimensional modeling based on the overall design parameters can improve the greenness of the construction process; furthermore, conducting collision tests and obtaining the overall frame structure based on the test results can help identify conflicts between components in advance, thereby improving construction efficiency and design quality.
[0110] Example 4:
[0111] Based on Example 3, this embodiment of the invention evaluates the stress performance of the overall frame structure through finite element analysis, and optimizes the overall frame structure based on the evaluation results, including:
[0112] Obtain the element type, and based on the element type, mesh the geometric model using finite element analysis software to generate a finite element model;
[0113] A multi-dimensional analysis was performed on the finite element model.
[0114] Based on the analysis results, the response and stability of the steel structure project under different loads are obtained;
[0115] The stress distribution of the steel structure is determined based on its response and stability under different loads.
[0116] The stress performance of the overall frame structure is evaluated based on the stress distribution, potential problems in the steel structure project are identified based on the evaluation results, and the overall frame structure is optimized based on the potential problems.
[0117] In this embodiment, the element types include: beam elements, shell elements, or solid elements.
[0118] In this embodiment, the multidimensional analysis includes dynamic, static, buckling, and fatigue analysis.
[0119] In this embodiment, the force distribution of steel structure engineering refers to the distribution of internal forces and deformations on various components and nodes inside the structure when the structure is subjected to external forces.
[0120] In this embodiment, potential problems in steel structure engineering may include stress concentration and excessive deformation.
[0121] In this embodiment, optimization may include: increasing the component cross-section or optimizing node connections.
[0122] The beneficial effects of the above technical solution are: by generating a finite element model by meshing the geometric model using finite element analysis software and performing multi-dimensional analysis, the performance of steel structure engineering under different environments can be comprehensively evaluated. Furthermore, the stress distribution of the steel structure engineering can be determined, thereby evaluating the stress performance of the overall frame structure. The overall stress distribution of the steel structure engineering can be accurately evaluated and corresponding optimizations can be made to improve construction efficiency.
[0123] Example 5:
[0124] Based on Example 4, this embodiment of the invention determines and produces prefabricated components by optimizing the frame structure, including:
[0125] The optimal parameters for steel structure engineering are determined by optimizing the frame structure;
[0126] The optimal distribution of components is determined based on topology optimization, and the key force paths of the components are obtained based on the optimal distribution.
[0127] Based on the optimized parameters of the steel structure project and combined with the key stress paths of the components, design requirements and drawings for prefabricated components are generated.
[0128] Precast components are produced according to the design requirements and drawings of the precast components.
[0129] In this embodiment, the optimization parameters for the steel structure engineering include: material selection and optimization, structural shape and cross-section optimization, and environmental adaptability optimization.
[0130] In this embodiment, topology optimization is used to optimize the material distribution within a given design space based on load conditions, constraints, and performance indicators to achieve optimal structural performance.
[0131] In this embodiment, the critical force path of a component refers to the most direct and effective path through which force is transmitted from the point of application to the support point or fixed point when the structure is subjected to external forces. This path determines the overall stability and load-bearing capacity of the structure.
[0132] The beneficial effects of the above technical solution are: by optimizing the frame structure to determine and produce prefabricated components, the production process of prefabricated components is highly automated, reducing the errors that may be caused by manual operation on site, thereby improving the quality of components and reducing rework caused by quality problems. At the same time, prefabricated components are not affected by natural conditions, which greatly improves production efficiency.
[0133] Example 6:
[0134] Based on Example 5, this embodiment of the invention performs quality inspection on precast components based on quality inspection indicators, including:
[0135] Multiple component quality inspection indicators are obtained based on the indicator monitoring database and in combination with the specific application scenarios of steel structure engineering.
[0136] The precast components are subjected to physical and chemical inspections based on the aforementioned multiple component quality inspection indicators;
[0137] The precast components are subjected to quality testing based on the inspection results.
[0138] In this embodiment, the quality inspection indicators include: appearance quality inspection, dimensional deviation inspection, material performance inspection, and connection quality inspection.
[0139] In this embodiment, physical and chemical tests include: tensile testing, impact testing, and chemical composition analysis.
[0140] In this embodiment, the indicator monitoring database refers to a database system used to collect, store, and manage various indicator data. In the production of precast components, the indicator monitoring database can be used to store chemical inspection data, quality inspection results, and key indicators in the production process of precast components, so as to monitor and analyze the quality and performance of precast components in real time.
[0141] The beneficial effects of the above technical solution are: quality testing of precast components based on quality inspection indicators can ensure the quality and safety of the components, improve the reliability of the components, and avoid the risk of engineering accidents caused by quality problems.
[0142] Example 7:
[0143] Based on Example 6, this embodiment of the invention collects environmental parameters and stress-deformation parameters during the installation of precast components, performs big data analysis based on these parameters, predicts potential risks, and dynamically adjusts the construction plan, including:
[0144] Environmental parameters and stress deformation parameters during the installation of precast components are collected using temperature sensors and structural health monitoring sensors.
[0145] A risk prediction model is constructed based on big data analysis technology and combined with machine learning algorithms, and the risk prediction is performed on environmental parameters and stress deformation parameters based on the risk prediction model.
[0146] Based on the risk prediction results, potential risks during the installation process are identified, and the construction plan is dynamically adjusted.
[0147] In this embodiment, the structural health monitoring sensors include: a displacement sensor, a deformation sensor, and a stress sensor.
[0148] In this embodiment, the environmental parameters during the installation of prefabricated components include: temperature, humidity, wind speed and direction, and site bearing capacity.
[0149] In this embodiment, the stress deformation parameters during the installation of prefabricated components include: lifting stress, installation stress, displacement and deformation, and bending deformation.
[0150] The beneficial effects of the above technical solution are: by collecting environmental parameters and stress deformation parameters during the installation of prefabricated components, the performance of prefabricated components in actual use can be evaluated, ensuring the maximization of the performance of prefabricated components. Furthermore, by conducting big data analysis based on environmental parameters and stress deformation parameters, potential risks can be predicted and construction plans can be dynamically adjusted, which can improve construction efficiency and ensure the rationality and safety of construction plans.
[0151] Example 8:
[0152] Based on Example 7, this embodiment of the invention further includes the following steps before obtaining the overall design parameters of the steel structure project, performing 3D modeling using BIM based on the overall design parameters, and obtaining the overall frame structure based on the modeling results:
[0153] Determine the task information based on the overall design parameters, and obtain the task sequence corresponding to the task information;
[0154] Collect multiple sets of different environmental information, process the environmental information into data, and obtain environmental data sequences;
[0155] Multiple sets of environmental feature value sequences are generated based on the environmental data sequence, and the Pearson correlation coefficient between each set of environmental feature value sequences and the operation sequence is calculated.
[0156] Determine the sequence of first environmental feature values with the highest Pearson correlation coefficient, and obtain the sequence of second environmental feature values for the construction site;
[0157] The difference between the first environmental characteristic value series and the second environmental characteristic value series is compared, and the construction site is determined to meet the workability conditions based on the comparison results.
[0158] If so, determine the construction condition parameters for the steel structure project based on the overall design parameters and preset quality standards;
[0159] From the construction condition parameters, determine the primary and secondary condition parameters, and based on the primary and secondary condition parameters, determine the geographical requirements, human resource requirements, and technical requirements.
[0160] The terrain characteristics, manpower allocation characteristics, and technology types of the construction site are determined based on geographical, human resource, and technical requirements.
[0161] The engineering response strategies for terrain characteristics, manpower allocation characteristics, and technology types are determined respectively, and the construction characteristics of each type of technical construction personnel are determined based on the engineering response strategies.
[0162] The shape of the steel connection members in the steel structure project is determined based on the overall design parameters, and the unloading joint characteristics of the steel connection members are determined.
[0163] The construction plan is generated by combining the construction characteristics of various technical construction personnel with the unloading joint characteristics and the soil and rock mass characteristics of the construction site.
[0164] In this embodiment, the environmental data sequence refers to a set of environmentally related data arranged in a certain time or spatial order.
[0165] In this embodiment, the environmental feature value sequence refers to a sequence formed by analyzing environmental data, extracting representative feature values, and arranging these feature values in a certain order.
[0166] In this embodiment, the Pearson correlation coefficient is a statistic that measures the degree of linear correlation between two variables.
[0167] In this embodiment, the main condition parameters refer to the key construction conditions that have a significant impact on the construction project and play a leading role, including: construction site conditions, climate conditions, and funding conditions.
[0168] In this embodiment, the condition parameters refer to construction conditions that have a certain impact on the construction project, but are relatively minor, including: material supply details, safety and hygiene conditions, auxiliary equipment and tools.
[0169] In this embodiment, the unloading joint characteristics of the shape of the steel connecting member refer to certain characteristics of the structural connecting member during the unloading process, such as stress release, deformation characteristics, and changes in local stability.
[0170] The beneficial effects of the above technical solution are: determining the shape of the steel connection components of the steel structure project based on the overall design parameters, determining the unloading joint characteristics of the shape of the steel connection components, and generating a construction plan by combining the construction characteristics of various technical construction personnel and the characteristics of the soil and rock mass at the construction site, which can ensure the rationality and pertinence of the construction plan and improve the construction process and construction efficiency.
[0171] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.
[0172] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; 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, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A green and intelligent construction method for steel structure engineering, characterized in that, include: Step 1: Obtain the overall design parameters of the steel structure project, use BIM to create a 3D model based on the overall design parameters, and obtain the overall frame structure based on the modeling results; Step 2: Evaluate the stress performance of the overall frame structure through finite element analysis, and optimize the overall frame structure based on the evaluation results; Step 3: Determine and produce prefabricated components by optimizing the frame structure, and conduct quality inspection on the prefabricated components based on quality inspection indicators; Step 4: Collect environmental parameters and stress deformation parameters during the installation of precast components, conduct big data analysis based on the environmental parameters and stress deformation parameters, predict potential risks and dynamically adjust the construction plan; Before obtaining the overall design parameters of the steel structure project, performing 3D modeling using BIM based on the overall design parameters, and obtaining the overall frame structure based on the modeling results, the process includes: determining the work information based on the overall design parameters and obtaining the corresponding work sequence; collecting multiple sets of different environmental information, processing the environmental information into data, and obtaining an environmental data sequence; generating multiple sets of environmental feature value sequences based on the environmental data sequence, and calculating the Pearson correlation coefficient between each set of environmental feature value sequences and the work sequence; determining the first environmental feature value sequence with the largest Pearson correlation coefficient and obtaining the second environmental feature value sequence of the construction site; comparing the differences between the first and second environmental feature value sequences, and determining whether the construction site meets the workability conditions based on the comparison results; if so, based on the overall design parameters... The construction condition parameters for the steel structure project are determined based on the design parameters and preset quality standards. From these parameters, primary and secondary condition parameters are identified, along with geographical, human resource, and technical requirements. The terrain characteristics, manpower allocation characteristics, and technical characteristics of the construction site are determined based on these requirements. Engineering response strategies are then determined for each terrain characteristic, manpower allocation characteristic, and technical characteristic, and the construction characteristics of each technical construction worker are determined based on these strategies. The shape of the steel connection components in the steel structure project is determined based on the overall design parameters, and the unloading joint characteristics of these components are identified. Finally, the construction plan is generated by combining the construction characteristics of each technical construction worker with the unloading joint characteristics and the soil and rock features of the construction site.
2. The green and intelligent construction method for steel structure engineering according to claim 1, characterized in that, Obtain the overall design parameters for the steel structure project, including: Obtain the function and user flow of the steel structure project, and determine the geometric parameters of the steel structure project based on the function and user flow. The connection method of each node in the steel structure project is determined based on the aforementioned geometric parameters; Obtain the material parameters for the steel structure project, and determine the mechanical properties of the material based on the material parameters; The load parameters of the material are determined based on its mechanical properties and the environmental conditions surrounding the steel structure project. The overall design parameters of the steel structure project are determined based on the connection methods of each node and the load parameters of the materials.
3. The green and intelligent construction method for steel structure engineering according to claim 1, characterized in that, Based on the overall design parameters, BIM is used to create a 3D model. The overall frame structure is obtained from the modeling results, including: Use BIM to create project files, set project units, and define the project coordinate system and elevations; Based on the overall design parameters and in conjunction with different tools in BIM, relevant components of the geometric model are created and generated. Material properties and load information are added to the relevant components, and collision detection tests are performed. Based on the test results, obtain the model view of the 3D model, analyze the model view of the 3D model, and obtain the overall framework structure based on the analysis results.
4. The green and intelligent construction method for steel structure engineering according to claim 1, characterized in that, The stress performance of the overall frame structure is evaluated using finite element analysis, and the overall frame structure is optimized based on the evaluation results, including: Obtain the element type, and based on the element type, mesh the geometric model using finite element analysis software to generate a finite element model; A multi-dimensional analysis was performed on the finite element model. Based on the analysis results, the response and stability of the steel structure project under different loads are obtained; The stress distribution of the steel structure is determined based on its response and stability under different loads. The stress performance of the overall frame structure is evaluated based on the stress distribution, potential problems in the steel structure project are identified based on the evaluation results, and the overall frame structure is optimized based on the potential problems.
5. The green and intelligent construction method for steel structure engineering according to claim 1, characterized in that, By optimizing the frame structure, prefabricated components are determined and produced, including: The optimal parameters for steel structure engineering are determined by optimizing the frame structure; The optimal distribution of components is determined based on topology optimization, and the key force paths of the components are obtained based on the optimal distribution. Based on the optimized parameters of the steel structure project and combined with the key stress paths of the components, design requirements and drawings for prefabricated components are generated. Precast components are produced according to the design requirements and drawings of the precast components.
6. The green and intelligent construction method for steel structure engineering according to claim 1, characterized in that, Quality inspection of precast components is conducted based on quality inspection indicators, including: Multiple component quality inspection indicators are obtained based on the indicator monitoring database and in combination with the specific application scenarios of steel structure engineering. The precast components are subjected to physical and chemical inspections based on the aforementioned multiple component quality inspection indicators; The precast components are subjected to quality testing based on the inspection results.
7. The green and intelligent construction method for steel structure engineering according to claim 1, characterized in that, Environmental parameters and stress-deformation parameters are collected during the installation of precast components. Big data analysis is then performed based on these parameters to predict potential risks and dynamically adjust construction plans, including: Environmental parameters and stress deformation parameters during the installation of precast components are collected using temperature sensors and structural health monitoring sensors. A risk prediction model is constructed based on big data analysis technology and combined with machine learning algorithms, and the risk prediction is performed on environmental parameters and stress deformation parameters based on the risk prediction model. Based on the risk prediction results, potential risks during the installation process are identified, and the construction plan is dynamically adjusted.
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