BIM-based mechanical and electrical construction dynamic management method and system

Abstract

The application provides a kind of BIM-based electromechanical construction dynamic management method and system, the method builds the modeling standard of steel structure and electromechanical specialty cooperation and integrated BIM family library containing deformation and load parameters, builds initial BIM collaborative model, solves the problem of disjointed modeling information of different specialties;To avoid pipeline collision, control load on steel structure deflection influence as the target to establish multi-objective optimization model, input deflection, load and process constraint data derived from initial construction scheme for iterative optimization, output accurate pipeline arrangement and equipment positioning scheme, realize the cooperation of structure and electromechanical, reduce the risk of collision and structural adaptation hidden danger, improve installation accuracy and construction efficiency, effectively solve the problem of high and large steel structure workshop electromechanical installation cooperation difficulty, low precision.

Description

Technical Field

[0001] This invention relates to the field of electromechanical installation technology, and in particular to a BIM-based dynamic management method and system for electromechanical construction. Background Technology

[0002] In the process of digital transformation in the construction industry, BIM (Building Information Modeling) technology, with its advantages of visualization, collaboration, and intelligence, has gradually become a supporting technology in the field of electromechanical installation. Its application can effectively solve many pain points in the traditional construction mode. As a key carrier of industrial production, tall steel structure factory buildings often have a spatial span of more than 30m, complex structural loads, and are equipped with heavy equipment, large-diameter pipelines and other electromechanical systems. The requirements for construction accuracy and collaborative efficiency are extremely high. The in-depth application of BIM technology in this scenario has become a key demand for industry development.

[0003] Currently, in common scenarios such as prefabricated buildings, complex commercial complexes, and subway projects, basic applications of BIM, such as model building, pipeline collision detection, prefabricated component processing, and construction progress simulation, have been implemented, effectively improving problems such as information disconnect, collision rework, and insufficient accuracy in traditional construction. However, in the special scenario of tall steel structure factory buildings, most projects still rely on two-dimensional drawings to guide construction, leading to frequent problems such as asynchronous steel structure installation and electromechanical pre-embedding, positioning deviations of pipelines in large spaces, and conflicts between heavy equipment hoisting and pipelines, making it difficult to guarantee construction efficiency and project quality. Even when some projects introduce BIM technology, they mostly focus on a single construction link and have not formed an integrated technical system for steel structure-electromechanical collaboration. This makes it difficult to adapt to the complex load characteristics of tall steel structure factory buildings and avoid stress conflicts and pipeline collisions between pipelines and steel structures. Summary of the Invention

[0004] This invention provides a BIM-based dynamic management method and system for electromechanical construction, which solves the problem of stress conflict and pipeline collision between pipelines and steel structures in the construction of tall steel structure factory buildings in the prior art.

[0005] On the one hand, this invention provides a BIM-based dynamic management method for electromechanical construction, including: Construct a BIM modeling standard that integrates steel structure and electromechanical engineering disciplines, and establish an integrated BIM family library that includes steel structure deformation parameters and electromechanical load parameters; Based on the integrated BIM family library, an initial BIM collaborative model is constructed; With the optimization objectives of avoiding pipeline collisions and controlling the impact of mechanical charge loads on the deflection of steel structures, a multi-objective optimization model is established. Input the initial construction plan into the initial BIM collaborative model, and output steel structure deflection data, mechanical load and process constraint data; The steel structure deflection data, the electromechanical load, and the process constraint data are input into the multi-objective optimization model for iterative calculation and optimization, and the integrated layout scheme of electromechanical pipelines and the positioning scheme of heavy equipment are output.

[0006] Optionally, a collaborative BIM modeling standard for steel structure and MEP (Mechanical, Electrical, and Plumbing) disciplines can be developed, establishing an integrated BIM family library that includes steel structure deformation parameters and mechanical and electrical load parameters, including: Obtain structural design data and electromechanical system design data for tall steel structure factory buildings; Based on the structural design data and electromechanical system design data, a BIM modeling standard is defined and generated, which includes geometric information and extended attribute information for describing the deformation characteristics and electromechanical load characteristics of the steel structure. Based on the BIM modeling standard, generate several parametric BIM components; The parametric BIM components are combined to form an integrated BIM family library; wherein each parametric BIM component encapsulates the extended attribute information.

[0007] Optionally, based on the integrated BIM family library, an initial BIM collaborative model is constructed, including: The parametric BIM component is invoked, and parameters are instantiated for the amplitude of the parametric BIM component according to the construction design drawings, generating steel structure sub-models and electromechanical sub-models respectively. The steel structure sub-model and the electromechanical sub-model are merged and their coordinates are calibrated. Based on the extended attribute information, a data association is established between the load attributes of electromechanical components and the mechanical attributes of steel structure components to generate an initial BIM collaborative model.

[0008] Optionally, a multi-objective optimization model is established with the optimization objectives of avoiding pipeline collisions and controlling the impact of mechanical charge loads on the deflection of the steel structure, including: Set up collision detection rules for spatial interference analysis and load-deflection calculation rules for structural response analysis; Construct an optimized solution model; the optimized solution model is capable of integrating the collision detection rules and load-deflection calculation rules, and performing iterative calculations based on a preset objective function that minimizes the total pipeline length or installation cost; The collision detection rules, the load-deflection calculation rules, and the optimization solution model are associated and encapsulated to form a multi-objective optimization model.

[0009] Optionally, the construction of the optimization solution model includes: A multi-objective genetic algorithm was selected and defined as the iterative optimization algorithm for the optimization solution model; The collision detection rules are established as the first data processing channel to generate first constraint data characterizing the degree of spatial conflict. The load-deflection calculation rule is established as a second data processing channel to generate second constraint data characterizing the structural safety margin. Define an objective function with the total length of the electromechanical pipeline system, the number of bends, or the space utilization rate as the target. The iterative optimization algorithm, the first data channel, the second data channel, and the objective function are integrated and logically encapsulated to form an optimization solution model.

[0010] Optionally, the initial construction plan is input into the initial BIM collaborative model, and the steel structure deflection data, mechanical and electrical loads, and process constraint data are output, including: The initial construction plan is input into the initial BIM collaborative model to form a construction condition BIM model with time sequence information. Based on the construction condition BIM model, the load parameters of all electromechanical components defined in the integrated BIM family library under each construction stage are traversed and extracted, and combined calculations are performed according to the working conditions to generate electromechanical load data. Based on the electromechanical load data, the deformation of the tall steel structure factory building under the corresponding construction conditions is calculated, and the displacement and stress results of the construction nodes are output to obtain the steel structure deflection data. Based on the construction condition BIM model and the preset installation process rule library, the installation space requirements, maintenance passage requirements, and welding operation space requirements are identified and extracted to generate process constraint data.

[0011] Optionally, the steel structure deflection data, the electromechanical load, and the process constraint data are input into the multi-objective optimization model for iterative calculation and optimization, outputting an integrated layout scheme for electromechanical pipelines and a positioning scheme for heavy equipment, including: Based on the steel structure deflection data, the mechanical and electrical load, and the process constraint data, multiple alternative spatial layout schemes are generated. The multi-objective optimization model is invoked, and spatial conflict information in the alternative schemes is calculated according to the collision detection rules. Based on the load-deflection calculation rules, calculate the impact of the load distribution corresponding to the alternative scheme on the deflection of the steel structure. Based on the process constraint data, determine the degree of compliance of the alternative solutions with the installation and maintenance requirements; Calculate the economic indicators corresponding to the alternative solutions; Based on the spatial conflict information, the impact information, the compliance degree, and the economic indicators, the multiple alternative schemes are comprehensively evaluated and iteratively optimized. The scheme that meets the preset optimization target is selected to obtain the electromechanical pipeline integrated layout scheme and the heavy equipment positioning scheme.

[0012] Optionally, it also includes: Based on the integrated layout scheme of electromechanical pipelines and the positioning scheme of heavy equipment, a virtual simulation model of heavy equipment hoisting is generated; Input the equipment hoisting sequence and path into the virtual simulation model to extract dynamic load data; The dynamic load data is input into the initial BIM collaborative model to calculate the real-time stress and deformation data of the steel structure during the hoisting process; The real-time stress and deformation data are compared with preset safety thresholds to generate hoisting operation guidance information based on the comparison results.

[0013] Optionally, it also includes: The integrated layout scheme of electromechanical pipelines is linked with the construction schedule to generate a 4D construction simulation model with a time dimension. Collect on-site installation progress, quality inspection data, and environmental monitoring data during the construction process; The on-site installation progress, the quality inspection data, and the environmental monitoring data are compared and analyzed in real time with the planned data and quality and safety standards of the corresponding nodes in the 4D construction simulation model. Based on the comparative analysis results, dynamic early warnings are issued for construction progress deviations and safety risks, and construction adjustment suggestions are generated.

[0014] On the other hand, the present invention also provides a BIM-based dynamic management system for electromechanical construction, comprising: The collaborative modeling standards and family library management module is used to build BIM modeling standards for collaboration between steel structure and MEP (Mechanical and Electrical) disciplines, and to establish an integrated BIM family library that includes steel structure deformation parameters and mechanical and electrical load parameters. The initial BIM collaborative model construction module is used to construct an initial BIM collaborative model based on the integrated BIM family library. The multi-objective optimization model construction and calculation module is used to establish a multi-objective optimization model with the optimization objectives of avoiding pipeline collisions and controlling the impact of mechanical and electrical loads on the deflection of steel structures. The scheme generation module is used to input the initial construction scheme into the initial BIM collaborative model and output steel structure deflection data, mechanical and electrical load and process constraint data. The steel structure deflection data, the electromechanical load, and the process constraint data are input into the multi-objective optimization model for iterative calculation and optimization, and the integrated layout scheme of electromechanical pipelines and the positioning scheme of heavy equipment are output.

[0015] On the other hand, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the BIM-based dynamic management method for electromechanical construction as described above.

[0016] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the BIM-based dynamic management method for electromechanical construction as described above.

[0017] On the other hand, the present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the BIM-based dynamic management method for electromechanical construction as described above.

[0018] This invention provides a BIM-based dynamic management method and system for electromechanical construction. The method constructs a collaborative modeling standard for steel structure and electromechanical disciplines, along with an integrated BIM family library containing deformation and load parameters, to build an initial collaborative BIM model, thus solving the problem of information disconnect between different disciplines. A multi-objective optimization model is established with the goals of avoiding pipeline collisions and controlling the impact of loads on steel structure deflection. Iterative optimization is performed using deflection, load, and process constraint data derived from the initial construction plan, outputting precise pipeline layout and equipment positioning schemes. This achieves collaboration between structure and electromechanical systems, reduces collision risks and structural compatibility issues, improves installation accuracy and construction efficiency, and effectively solves the problems of difficult and low-precision collaborative electromechanical installation in tall steel structure factory buildings. Attached Figure Description

[0019] 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.

[0020] Figure 1 This is a flowchart illustrating the BIM-based dynamic management method for electromechanical construction provided in this embodiment of the invention. Figure 2 This is a schematic diagram of the structure of the BIM-based electromechanical construction dynamic management system provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0021] 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.

[0022] Figure 1 This is a flowchart illustrating the BIM-based dynamic management method for electromechanical construction provided in this embodiment of the invention.

[0023] like Figure 1 As shown in the figure, the BIM-based dynamic management method for electromechanical construction provided in this embodiment of the invention mainly includes the following steps: 101. Construct a collaborative BIM modeling standard for steel structure and electromechanical engineering, and establish an integrated BIM family library that includes steel structure deformation parameters and electromechanical load parameters.

[0024] The modeling standard is a unified specification that combines structural design data and electromechanical system design data of tall steel structure factory buildings. It defines extended attribute information including geometric information, steel structure deformation characteristics, and electromechanical load characteristics, providing a unified interface and operating guidelines for cross-disciplinary modeling. The integrated BIM family library is a collection of parametric BIM components generated according to this standard. Each component encapsulates extended attribute information and can be directly called for model construction.

[0025] The modeling standard unifies the modeling rules for steel structures and electromechanical engineering, breaks down the information barriers of traditional discipline-specific modeling, and avoids data disconnect caused by inconsistent interfaces. The deformation and load data encapsulated in the integrated BIM family library provide data support for subsequent model construction, load calculation, and deflection analysis, ensuring the consistency and relevance of cross-disciplinary data.

[0026] Specifically, a collaborative BIM modeling standard for steel structure and MEP (Mechanical, Electrical, and Plumbing) disciplines will be established, and an integrated BIM family library including steel structure deformation parameters and mechanical and electrical load parameters will be created, including: Obtain structural design data and electromechanical system design data for tall steel structure factory buildings; Based on structural design data and electromechanical system design data, a BIM modeling standard is defined and generated that includes geometric information and extended attribute information for describing the deformation characteristics and electromechanical load characteristics of steel structures. Based on BIM modeling standards, generate several parametric BIM components; Parametric BIM components are combined to form an integrated BIM family library; each parametric BIM component encapsulates extended attribute information.

[0027] When developing BIM modeling standards, structural design data and electromechanical system design data for tall steel structure factory buildings are collected. Structural design data includes core information such as the geometric dimensions of steel components, material mechanical parameters (e.g., elastic modulus, yield strength), standard values ​​of design loads, and allowable deflection limits. Electromechanical system design data includes pipeline specifications, materials, slope requirements, weight, dimensions, and operating loads of heavy and conventional equipment, as well as process requirements such as installation and maintenance space and hoisting access. Based on these two types of data, a unified collaborative BIM modeling standard is developed. The BIM modeling standard needs to clearly define geometric information specifications, including a unified coordinate system, component modeling accuracy error limits, and rules for dividing professional layers. Simultaneously, it defines extended attribute information standards to transform the deformation characteristics and electromechanical load characteristics of steel structures into quantifiable and associative model attributes, unifying data interfaces and description specifications, thus laying the foundation for cross-disciplinary collaboration.

[0028] When generating parametric BIM components, each component is created one by one according to BIM modeling standards. Each component not only accurately reproduces the geometric shape of the entity, but also encapsulates the corresponding extended attribute information, realizing the integrated storage of geometric features and performance parameters, and ensuring the integrity and consistency of component data.

[0029] When building an integrated BIM family library, all generated parametric BIM components are classified and integrated according to categories such as steel structure, electromechanical pipelines, and heavy equipment to form an integrated BIM family library.

[0030] For example, consider a tall steel structure factory building for new energy battery production with a span of 45m and an eave height of 32m: First, obtain the structural design data: steel column section H1000×600×25×35mm, steel beam model H900×500×20×30mm, Q355B steel elastic modulus 206GPa, allowable deflection limit L / 500, electromechanical system design data DN300 water supply and drainage main pipe, 28t heavy cooling tower, pipeline maintenance space ≥500mm; An independent coordinate system with the center point of the column foundation at the lower left corner of the factory building as the origin is adopted. The modeling error of the steel structure components is ≤ ±2mm, and the positioning error of the turning point of the electromechanical pipeline is ≤ ±3mm. At the same time, the deformation of the steel column construction and the self-weight of the pipeline are set as extended attributes. Create a steel beam component with a maximum mid-span deformation of 12 mm and load-deformation curve parameters, and a DN300 water supply and drainage pipeline component with a self-weight of 0.8 kN / m and a medium weight of 1.2 kN / m. The parametric components such as steel columns, steel beams, various pipelines, and cooling towers are categorized and summarized to form an integrated BIM family library for the project.

[0031] 102. Based on the integrated BIM family library, construct an initial BIM collaborative model; Specifically, based on an integrated BIM family library, an initial BIM collaborative model is constructed, including: Call the parametric BIM component and instantiate parameters for the amplitude of the parametric BIM component according to the construction design drawings to generate steel structure sub-model and MEP sub-model respectively; The steel structure sub-model and the MEP sub-model are merged and their coordinates are calibrated. Based on the extended attribute information, a data association is established between the load attributes of MEP components and the mechanical attributes of steel structure components to generate an initial BIM collaborative model.

[0032] The process involves retrieving the required parametric BIM components for steel structures and electromechanical systems from the integrated BIM family library. Based on the dimensions, installation locations, performance requirements, and other details specified in the construction design drawings, each component is assigned specific instantiated parameters. For steel structure components, the actual cross-sectional dimensions, installation elevation, and material mechanical parameters must be entered. For electromechanical components, the pipeline specifications, equipment weight, and operating loads must be specified to ensure that the parameters of each component are fully matched with the actual needs of the project. This process generates independent and accurate sub-models for steel structures and electromechanical systems, respectively.

[0033] When merging sub-models, first import the two professional sub-models into the same collaborative modeling environment, use a unified architectural independent coordinate system for coordinate calibration, eliminate spatial position deviations between sub-models, and achieve precise alignment at the geometric level. Then, based on the extended attribute information of the component encapsulation in the integrated BIM family library, a logical relationship is established between the load attributes of electromechanical components and the mechanical attributes of steel structure components, allowing the two types of sub-models to be deeply integrated at the data level, and finally generating an initial BIM collaborative model that has both geometric integrity and data relevance.

[0034] For example, steel structural components such as H1000×600×25×35mm steel columns and H900×500×20×30mm steel beams, as well as electromechanical components such as DN300 water supply and drainage pipelines and 28t cooling towers, are retrieved from the integrated family library. Based on the construction drawings, parameters such as installation elevation of 12m and material Q355B are assigned to the steel columns, and parameters such as installation position (X=50m, Y=30m, Z=28m) and operating load of 5kN / ㎡ are assigned to the cooling towers, thereby generating steel structure sub-models and electromechanical models respectively. The steel structure sub-model and the electromechanical sub-model are calibrated using an independent coordinate system with the center point of the column foundation at the lower left corner of the factory as the origin to ensure that there is no deviation in the spatial position of the steel column and the cooling tower. Then, the correlation between the 5kN / ㎡ operating load of the cooling tower and the corresponding allowable deflection L / 500 of the steel beam is established through extended attributes to complete the data fusion and generate the initial BIM collaborative model.

[0035] 103. To optimize the deflection of steel structures by avoiding pipeline collisions and controlling the impact of mechanical and electrical loads, a multi-objective optimization model is established.

[0036] Specifically, with the optimization objectives of avoiding pipeline collisions and controlling the impact of mechanical charge loads on the deflection of the steel structure, a multi-objective optimization model is established, including: Set up collision detection rules for spatial interference analysis and load-deflection calculation rules for structural response analysis; Construct an optimized solution model; the optimized solution model is capable of integrating collision detection rules and load-deflection calculation rules, and performing iterative calculations based on a preset objective function that minimizes the total pipeline length or installation cost; The collision detection rules, load-deflection calculation rules, and optimization solution model are associated and encapsulated to form a multi-objective optimization model.

[0037] Among them, the collision detection rules are used to identify spatial interference between pipelines, between pipelines and equipment, and between pipelines / equipment and steel structures, and to define the criteria for determining the minimum safe distance; the load-deflection calculation rules are used to quantify the relationship between mechanical load and steel structure deflection, clarify the calculation logic based on material mechanics and finite element analysis, and set the allowable deflection threshold for steel structures.

[0038] When constructing the optimization solution model, an appropriate iterative optimization algorithm is selected, and the collision detection rules and load-deflection calculation rules are integrated as spatial constraints and structural constraints, respectively. At the same time, the objective function of minimizing the total pipeline length or the installation cost is set, forming an optimization solution model that includes constraints, objective function and iterative algorithm.

[0039] Finally, the collision detection rules, load-deflection calculation rules, and optimization solution model are logically linked and encapsulated into an independent multi-objective optimization model. This allows the rule verification and iterative calculation to be automatically triggered after relevant data is input, and outputs a solution that satisfies both optimization objectives.

[0040] For example, the collision detection rules stipulate that the distance between a DN300 water supply and drainage pipeline and a 1500×800mm ventilation duct must be ≥150mm, and the distance between the pipeline and the outer shell of a 28t cooling tower must be ≥300mm; the load-deflection calculation rules stipulate that the finite element analysis method is used, based on the mechanical parameters of Q355B steel, to calculate the deflection of the steel beam under the action of a computer charge load, and the maximum deflection is limited to no more than 90mm (45m span L / 500).

[0041] A multi-objective genetic algorithm is selected, with the above rules as constraints and minimizing the total pipeline length as the objective function. After integration, the pipeline layout scheme can be iteratively optimized.

[0042] The two types of rules and the solution model are encapsulated into a multi-objective optimization model. After inputting the steel structure deflection threshold and mechanical charge load data, the model can automatically verify whether the spatial collision risk and structural deflection meet the standards, and iteratively generate the optimal pipeline layout scheme. The construction of the optimization solution model includes: A multi-objective genetic algorithm was selected and defined as the iterative optimization algorithm for solving the optimization model.

[0043] In this study, considering the complex requirements of pipeline layout and equipment positioning in the electromechanical installation of tall steel structure factory buildings, which need to balance multiple objectives such as spatial conflicts, structural safety, and economy, a multi-objective genetic algorithm was selected as the iterative optimization algorithm. The multi-objective genetic algorithm possesses global optimization capabilities and multi-constraint adaptability. By simulating the selection, crossover, and mutation mechanisms of biological evolution, it can efficiently screen for optimal solutions in a multi-dimensional objective space. For example, by setting the population size to 50-100, the number of iterations to 80-120, the crossover probability to 0.7-0.9, and the mutation probability to 0.01-0.05, the algorithm achieves a balance between global search and local optimization, covering various potential feasible solutions while quickly converging to the optimal solution, thus adapting to the complex scenario of electromechanical optimization in tall spaces.

[0044] The collision detection rules are established as the first data processing channel to generate the first constraint data that characterizes the degree of spatial conflict.

[0045] Based on the process requirements and safety specifications for electromechanical installation in tall steel structure factory buildings, collision detection rules are concretized into quantitative judgment standards, constructing the first data processing channel. The minimum safe distances between pipelines, between pipelines and equipment, and between pipelines / equipment and the steel structure are clearly defined. The channel traverses the spatial coordinates and geometric dimensions of each component in the initial BIM collaborative model, calculates the difference between the actual distance between components and the minimum safe distance, and statistically analyzes the number of conflict points, the area of ​​conflict zones, and the severity level of conflict, generating the first constraint data characterizing the degree of spatial conflict.

[0046] The load-deflection calculation rules are established as a second data processing channel to generate second constraint data characterizing the structural safety margin.

[0047] Based on the principles of mechanics of materials and the finite element analysis method, load-deflection calculation rules were formulated, and a second data processing channel was constructed. The rules specify that, based on the material parameters, cross-sectional dimensions, and span data of the steel structure components, the actual deflection value of the steel structure under electromechanical load is calculated using the finite element analysis algorithm. This value is then compared with a preset allowable deflection threshold. By calculating the difference between the actual deflection and the allowable deflection, and the safety margin percentage, second constraint data characterizing the structural safety margin is generated. This second constraint data reflects the impact of electromechanical load on the stability of the steel structure.

[0048] Define an objective function with the total length of the electromechanical pipeline system, the number of bends, or the space utilization rate as the target.

[0049] In this study, the optimization direction of the objective function is clarified and defined by combining the requirements of construction economy and space utilization efficiency. If the objective is to minimize the total pipeline length, the objective function is defined as minimizing the sum of the lengths of all electromechanical pipelines. If the objective is to minimize the number of bends, the total number of bends for each type of pipeline is counted and minimized to reduce construction interfaces and resistance losses. If the objective is to maximize space utilization, the objective function is defined as maximizing the ratio of the space occupied by the electromechanical system to the available space in the plant, while also meeting basic requirements such as maintenance access and installation space. The objective function transforms the optimization requirements into a calculable mathematical model through quantitative indicators.

[0050] The iterative optimization algorithm, the first data channel, the second data channel, and the objective function are integrated and logically encapsulated to form an optimization solution model.

[0051] Specifically, the iterative optimization algorithm, two data processing channels, and the objective function are integrated and encapsulated into a single system. In each iteration, the first and second data processing channels are first invoked to perform spatial conflict detection and structural deflection calculation on the current candidate solutions, obtaining the first and second constraint data. Then, the first and second constraint data are substituted into the objective function to calculate the objective function value of the candidate solutions. Subsequently, according to the selection, crossover, and mutation rules of the genetic algorithm, solutions with better objective function values ​​and that satisfy the constraints are selected to enter the next iteration, until the number of iterations reaches a preset value or the objective function value tends to stabilize. By encapsulating this into an independent optimization solution model, it can automatically receive input data, perform iterative calculations, and output optimization results, achieving automated optimization under multiple constraints and objectives.

[0052] 104. Input the initial construction plan into the initial BIM collaborative model, and output the steel structure deflection data, mechanical and electrical loads, and process constraint data; Specifically, the initial construction plan is input into the initial BIM collaborative model, and the output includes steel structure deflection data, mechanical and electrical loads, and process constraint data, including: The initial construction plan is input into the initial BIM collaborative model to form a construction condition BIM model with time sequence information.

[0053] The initial construction plan includes the sequence, timeline, and operational logic of each construction stage, such as the laying of electromechanical pipelines, the hoisting of heavy equipment, and the reinforcement of steel structure nodes. When the initial construction plan is integrated with the initial BIM collaborative model, time attribute labels are assigned to each component in the initial BIM collaborative model according to the construction schedule. For example, it is specified that the first step is to install steel beams, the second step is to lay DN300 water supply and drainage pipelines, and the third step is to hoist a 28t cooling tower. This transforms the originally static initial BIM collaborative model into a dynamic construction condition BIM model, restoring the site scene and component assembly status of each construction stage.

[0054] Based on the BIM model of the construction conditions, the load parameters of all electromechanical components defined in the integrated BIM family library under each construction stage are traversed and extracted, and combined calculations are performed according to the conditions to generate electromechanical load data.

[0055] Specifically, based on the different time-series scenarios in the BIM model of construction conditions, all electromechanical components involved in the operation at each time-series stage are traversed one by one. Through the association relationship between the components and the integrated BIM family library, the load parameters encapsulated in each component are extracted, including pipeline self-weight, medium weight, equipment operating load, temporary construction load, etc. The calculations are classified and combined according to the construction conditions. For example, in the pipeline laying stage, only the self-weight load of various pipelines and supports is counted, while in the equipment operation stage, the weight of the equipment itself and the operating load are superimposed. Finally, the electromechanical load data corresponding to each construction stage are generated, clarifying the scale and distribution of electromechanical loads that the steel structure needs to bear under different conditions.

[0056] Based on the mechanical charge load data, the deformation of tall steel structure workshops under corresponding construction conditions is calculated, and the displacement and stress results of construction nodes are output to obtain the deflection data of steel structures. Specifically, the mechanical and electrical load data from each construction stage are substituted into a pre-set finite element analysis algorithm. Combined with basic information such as material parameters, cross-sectional dimensions, and span of the steel structure components, the stress state of the tall steel structure factory building under corresponding working conditions is simulated and calculated. The displacement and stress distribution of key construction nodes such as the mid-span of steel beams and steel column joints are analyzed in detail. The actual deformation values ​​of each node are calculated, and data reflecting the overall deformation trend of the structure are selected to form steel structure deflection data, which intuitively presents the degree of deformation and risk points of the steel structure under mechanical and electrical loads.

[0057] Based on the BIM model of the construction conditions and the pre-set installation process rule library, the installation space requirements, maintenance passage requirements, and welding operation space requirements are identified and extracted to generate process constraint data.

[0058] The pre-defined installation process rule library includes various process requirements and standards specified in industry standards and construction manuals. Combined with the spatial scene of the construction condition BIM model, the spatial recognition function of the construction condition BIM model is used to extract process constraint information under the corresponding conditions. For example, it identifies the minimum operating space required for pipeline installation as ≥300mm, the clear width of the maintenance passage for heavy equipment as ≥4m, and the welding operation space at the connection between steel structure and pipeline as ≥200mm. The spatial and operational constraints are quantified into calculable parameters to generate process constraint data.

[0059] 105. Input the steel structure deflection data, electromechanical load and process constraint data into the multi-objective optimization model for iterative calculation and optimization, and output the integrated layout scheme of electromechanical pipelines and the positioning scheme of heavy equipment.

[0060] Specifically, steel structure deflection data, electromechanical load, and process constraint data are input into a multi-objective optimization model for iterative calculation and optimization, outputting an integrated layout scheme for electromechanical pipelines and a positioning scheme for heavy equipment, including: Based on steel structure deflection data, electromechanical load and process constraint data, multiple alternative spatial layout schemes are generated.

[0061] Using steel structure deflection data, mechanical and electrical load data, and process constraint data as constraints, and combining basic information such as plant space dimensions and component distribution, several differentiated spatial layout alternatives are generated. For example, Option 1 concentrates heavy equipment in areas with smaller steel structure deflection, with pipelines arranged parallel to the side of the plant; Option 2 adopts a distributed equipment layout + layered pipeline installation mode to avoid deflection-sensitive areas and key structural nodes; Option 3 optimizes pipeline routing and reduces the number of bends to adapt to process requirements, ensuring that each alternative initially meets the constraints.

[0062] The multi-objective optimization model is invoked to calculate spatial conflict information among the alternative schemes based on the collision detection rules.

[0063] Specifically, the multi-objective optimization model is invoked, triggering the collision detection rules within the model to perform a full-space traversal detection of each alternative scheme. By calculating the difference between the actual spacing and the safe spacing between components, the number of collision points, the location of the conflict area, and the severity of the conflict are statistically analyzed for each scheme, generating a spatial conflict information report. For example, Scheme 1 has 3 pipeline intersection collisions and 2 instances where the spacing between equipment and steel beams is insufficient; Scheme 2 has no obvious spatial conflicts, with only 1 instance where the spacing between a pipeline and the edge of the maintenance passage is close to the threshold.

[0064] Based on the load-deflection calculation rules, the impact of the load distribution corresponding to the alternative scheme on the deflection of the steel structure is calculated.

[0065] Specifically, based on the load-deflection calculation rules, the mechanical and electrical load distribution data of each alternative scheme are substituted into the finite element analysis module. Combined with the steel structure material parameters and initial deflection data, the actual deflection change of the steel structure under each scheme is calculated. The focus is on analyzing the deflection increment of the nodes after the mechanical and electrical loads are superimposed, and whether it exceeds the allowable threshold, generating structural safety margin data. For example, Scheme 1, due to the concentrated arrangement of equipment, results in a deflection increment of 12mm for the corresponding steel beam, exceeding the allowable value; Scheme 2 has a uniform load distribution, with a deflection increment of 3mm, providing sufficient safety margin; Scheme 3 has pipeline loads concentrated in the secondary beam area, with no significant change in the deflection of the main steel beam.

[0066] Based on the process constraint data, determine the degree to which the alternative solutions meet the installation and maintenance requirements.

[0067] Specifically, the suitability of each alternative solution was verified against the requirements for installation space, maintenance access, and welding operation space in the process constraint data. Through space measurement and logical judgment, compliance indicators were quantified, and the specific locations and reasons for non-compliance were marked. For example, Solution 1's maintenance access was occupied by pipelines, resulting in a compliance rate of only 60%; Solution 2 met all process space requirements, achieving a compliance rate of 100%; and Solution 3 had insufficient welding operation space in some areas, resulting in a compliance rate of 85%.

[0068] Calculate the economic indicators corresponding to the alternative solutions.

[0069] Specifically, the economic viability of each alternative scheme is quantified using the total length of the electromechanical pipeline, the number of elbows, and the construction difficulty coefficient as calculation dimensions. The total pipeline length and the number of elbows are directly related to material costs and construction time, while the construction difficulty coefficient is comprehensively evaluated based on factors such as the number of hoisting operations and the amount of high-altitude work. For example, Scheme 1 has a total pipeline length of 850m and 32 elbows, with a construction difficulty coefficient of 0.7; Scheme 2 has a total pipeline length of 920m and 28 elbows, with a construction difficulty coefficient of 0.5; and Scheme 3 has a total pipeline length of 880m and 25 elbows, with a construction difficulty coefficient of 0.6. This results in a final economic score for each scheme.

[0070] Based on spatial conflict information, impact information, compliance and economic indicators, multiple alternative schemes are comprehensively evaluated and iteratively optimized. The scheme that meets the preset optimization objectives is selected to obtain the integrated layout scheme of electromechanical pipelines and the positioning scheme of heavy equipment.

[0071] Specifically, a comprehensive evaluation system was established, assigning a weight of 30% to spatial conflict information, 30% to structural deflection impact information, 20% to process compliance, and 20% to economic indicators. A weighted summation method was used to calculate the comprehensive score of each alternative scheme. Schemes with high scores were iteratively adjusted using a multi-objective optimization model. For example, to address the slightly weaker economic efficiency of Scheme 2, the pipeline route was optimized to shorten its length; to address the insufficient process compliance of Scheme 3, the local pipeline positions were fine-tuned to reserve working space. After multiple iterations, the scheme with the highest comprehensive score that met the preset objectives of no spatial conflict, structural safety, process compatibility, and economic efficiency was selected, ultimately determining the integrated electromechanical pipeline layout scheme and the heavy equipment positioning scheme.

[0072] In some embodiments, the BIM-based dynamic management method for electromechanical construction provided by the present invention further includes: Based on the integrated layout scheme of electromechanical pipelines and the positioning scheme of heavy equipment, a virtual simulation model of heavy equipment hoisting is generated; Input the equipment hoisting sequence and path into the virtual simulation model to extract dynamic load data; Input dynamic load data into the initial BIM collaborative model to calculate the real-time stress and deformation data of the steel structure during the hoisting process; The real-time stress and deformation data are compared with preset safety thresholds to generate hoisting operation guidance information based on the comparison results.

[0073] Specifically, based on the optimized integrated layout scheme of electromechanical pipelines and the positioning scheme of heavy equipment, and relying on the visualization and parametric characteristics of BIM technology, the external dimensions, weight distribution, installation coordinates of heavy equipment, as well as the spatial positional relationship of surrounding pipelines and steel structure components are restored, and a virtual simulation model of heavy equipment hoisting that matches the on-site working conditions is constructed.

[0074] Based on the equipment hoisting sequence and path specified in the construction plan, the relevant timing and path parameters are input into the virtual simulation model. The virtual simulation model simulates the lifting, moving, and lowering actions of the equipment during the hoisting process, capturing dynamic load data in real time at different hoisting stages, including equipment hoisting impact force, rope tension, and horizontal wind load.

[0075] The extracted dynamic load data is imported into the initial BIM collaborative model. Combined with the material mechanics parameters and section properties of the steel structure components, the finite element analysis algorithm is used to simulate and calculate the real-time stress and deformation data of the steel structure under dynamic load during the hoisting process, reflecting the dynamic impact of hoisting on the steel structure.

[0076] The preset thresholds are the stress safety threshold and deformation safety threshold of the steel structure components. The calculated real-time stress and deformation data are compared with the preset thresholds. If the real-time stress and deformation data do not exceed the thresholds, a standardized hoisting operation instruction is generated, specifying the requirements for hoisting speed, angle control, etc. If the data is close to or exceeds the thresholds, a safety warning is issued and adjustment suggestions are output to ensure that the hoisting operation is safe and controllable.

[0077] For example, taking the hoisting of a 28t cooling tower in a new energy plant as an example, a virtual simulation model of the hoisting is constructed based on the optimized equipment positioning scheme, which includes the cooling tower, the surrounding DN300 water supply and drainage pipelines, and the H900×500×20×30mm steel beam. Input the hoisting path from the south side of the factory → horizontal movement to directly above the installation area → vertical downward and the sequence of independent hoisting of a single unit. The virtual simulation model extracts dynamic load data including the instantaneous impact force of 12kN during hoisting and the rope tension of 30kN during the horizontal movement stage. By inputting dynamic load data into the initial BIM collaborative model, the maximum real-time stress of the corresponding steel beam during the hoisting process was calculated to be 280MPa and the maximum deflection to be 45mm. Compared with the preset safety thresholds of 355MPa allowable stress for Q355B steel and 90mm allowable deflection for steel beams, both are within the safe range. Finally, a hoisting operation instruction is generated, specifying that the hoisting speed is ≤0.5m / s and the horizontal movement speed is ≤1m / s.

[0078] In some embodiments, the BIM-based dynamic management method for electromechanical construction provided by the present invention further includes: The integrated layout scheme of electromechanical pipelines is linked with the construction schedule to generate a 4D construction simulation model with a time dimension. Collect on-site installation progress, quality inspection data, and environmental monitoring data during the construction process; The data on on-site installation progress, quality inspection data, and environmental monitoring data are compared and analyzed in real time with the planned data and quality and safety standards of the corresponding nodes in the 4D construction simulation model. Based on the comparative analysis results, dynamic early warnings are issued for construction progress deviations and safety risks, and construction adjustment suggestions are generated.

[0079] Specifically, based on the optimized integrated layout of electromechanical pipelines, and linked to the time nodes in the construction schedule, a time attribute is assigned to each component in the initial BIM model. By combining the spatial component layout with the temporal construction process, a 4D construction simulation model with a timeline is generated, which intuitively presents the component combination, work sequence, and progress logic of each construction stage, realizing a visual preview of the construction process.

[0080] Through data acquisition equipment, sensors, and quality inspection tools, installation progress data, quality inspection data, and environmental monitoring data are collected in real time during the construction process. The installation progress data includes the actual completion time of each process and the number of components installed; the quality inspection data includes the test results of pipeline interface sealing, equipment installation accuracy, and steel structure node firmness; and the environmental monitoring data includes environmental parameters affecting construction such as temperature, humidity, and wind force at the construction site.

[0081] The collected data is compared one by one with the planned data of the corresponding nodes in the 4D construction simulation model and the preset quality and safety standards to analyze the deviation time and reasons between the actual completion progress and the planned progress; to verify whether the actual test results meet the specifications and standards, and to judge whether there are risk factors affecting construction safety in combination with environmental data, so as to obtain the comparative analysis results.

[0082] Based on the comparative analysis results, if the actual progress lags behind the plan by more than a preset threshold, or if the quality inspection data fails to meet the standards or the environmental data exceeds the safe operating range, a dynamic early warning will be triggered. For progress deviations, suggestions for optimizing resource allocation and adjusting the work sequence will be generated; for quality issues, rectification plans will be proposed; and for safety risks, suggestions for suspending high-altitude operations and implementing protective measures will be provided to ensure the construction process remains controllable.

[0083] Based on the same inventive concept, this invention also protects a BIM-based dynamic management system for electromechanical construction. The BIM-based dynamic management system for electromechanical construction provided by this invention will be described below. The BIM-based dynamic management system for electromechanical construction described below and the BIM-based dynamic management method for electromechanical construction described above can be referred to in correspondence.

[0084] In some embodiments, such as Figure 2 As shown, the present invention also provides a BIM-based dynamic management system for electromechanical construction, comprising: The Collaborative Modeling Standards and Family Library Management Module 210 is used to build BIM modeling standards for collaboration between steel structure and electromechanical disciplines, and to establish an integrated BIM family library that includes steel structure deformation parameters and electromechanical load parameters. The initial BIM collaborative model building module 220 is used to build an initial BIM collaborative model based on the integrated BIM family library; The multi-objective optimization model construction and calculation module 230 is used to establish a multi-objective optimization model with the optimization objectives of avoiding pipeline collisions and controlling the influence of mechanical and electrical loads on the deflection of steel structures. The scheme generation module 240 is used to input the initial construction scheme into the initial BIM collaborative model and output steel structure deflection data, mechanical and electrical load and process constraint data. The steel structure deflection data, electromechanical load and process constraint data are input into a multi-objective optimization model for iterative calculation and optimization, and the output is an integrated layout scheme for electromechanical pipelines and a positioning scheme for heavy equipment.

[0085] Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention.

[0086] like Figure 3 As shown, the electronic device may include a processor 310, a communications interface 320, a memory 330, and a communication bus 340. The processor 310, communications interface 320, and memory 330 communicate with each other via the communication bus 340. The processor 310 can call logical instructions from the memory 330 to execute a BIM-based dynamic management method for electromechanical construction.

[0087] Furthermore, the logical instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0088] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the BIM-based electromechanical construction dynamic management method provided by the above methods.

[0089] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the BIM-based dynamic management method for electromechanical construction provided by the methods described above.

[0090] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0091] 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.

[0092] 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 BIM-based dynamic management method for electromechanical construction, characterized in that, include: Construct a BIM modeling standard that integrates steel structure and electromechanical engineering disciplines, and establish an integrated BIM family library that includes steel structure deformation parameters and electromechanical load parameters; Based on the integrated BIM family library, an initial BIM collaborative model is constructed; With the optimization objectives of avoiding pipeline collisions and controlling the impact of mechanical charge loads on the deflection of steel structures, a multi-objective optimization model is established. Input the initial construction plan into the initial BIM collaborative model, and output steel structure deflection data, mechanical load and process constraint data; The steel structure deflection data, the electromechanical load, and the process constraint data are input into the multi-objective optimization model for iterative calculation and optimization, and the integrated layout scheme of electromechanical pipelines and the positioning scheme of heavy equipment are output.

2. The BIM-based dynamic management method for electromechanical construction according to claim 1, characterized in that, Establish BIM modeling standards for collaboration between steel structure and MEP (Mechanical, Electrical, and Plumbing) disciplines, and create an integrated BIM family library that includes steel structure deformation parameters and mechanical and electrical load parameters, including: Obtain structural design data and electromechanical system design data for tall steel structure factory buildings; Based on the structural design data and electromechanical system design data, a BIM modeling standard is defined and generated, which includes geometric information and extended attribute information for describing the deformation characteristics and electromechanical load characteristics of the steel structure. Based on the BIM modeling standard, generate several parametric BIM components; The parametric BIM components are combined to form an integrated BIM family library; wherein each parametric BIM component encapsulates the extended attribute information.

3. The BIM-based dynamic management method for electromechanical construction according to claim 2, characterized in that, Based on the integrated BIM family library, an initial BIM collaborative model is constructed, including: The parametric BIM component is invoked, and parameters are instantiated for the amplitude of the parametric BIM component according to the construction design drawings, generating steel structure sub-models and electromechanical sub-models respectively. The steel structure sub-model and the electromechanical sub-model are merged and their coordinates are calibrated. Based on the extended attribute information, a data association is established between the load attributes of electromechanical components and the mechanical attributes of steel structure components to generate an initial BIM collaborative model.

4. The BIM-based dynamic management method for electromechanical construction according to claim 1, characterized in that, With the optimization objectives of avoiding pipeline collisions and controlling the impact of mechanical charge loads on the deflection of the steel structure, a multi-objective optimization model is established, including: Set up collision detection rules for spatial interference analysis and load-deflection calculation rules for structural response analysis; Construct an optimized solution model; the optimized solution model is capable of integrating the collision detection rules and load-deflection calculation rules, and performing iterative calculations based on a preset objective function that minimizes the total pipeline length or installation cost; The collision detection rules, the load-deflection calculation rules, and the optimization solution model are associated and encapsulated to form a multi-objective optimization model.

5. The BIM-based dynamic management method for electromechanical construction according to claim 4, characterized in that, The construction of the optimization solution model includes: A multi-objective genetic algorithm was selected and defined as the iterative optimization algorithm for the optimization solution model; The collision detection rules are established as the first data processing channel to generate first constraint data characterizing the degree of spatial conflict. The load-deflection calculation rule is established as a second data processing channel to generate second constraint data characterizing the structural safety margin. Define an objective function with the total length of the electromechanical pipeline system, the number of bends, or the space utilization rate as the target. The iterative optimization algorithm, the first data channel, the second data channel, and the objective function are integrated and logically encapsulated to form an optimization solution model.

6. The BIM-based dynamic management method for electromechanical construction according to claim 1, characterized in that, The initial construction plan is input into the initial BIM collaborative model, and the output includes steel structure deflection data, mechanical and electrical loads, and process constraint data, including: The initial construction plan is input into the initial BIM collaborative model to form a construction condition BIM model with time sequence information. Based on the construction condition BIM model, the load parameters of all electromechanical components defined in the integrated BIM family library under each construction stage are traversed and extracted, and combined calculations are performed according to the working conditions to generate electromechanical load data. Based on the electromechanical load data, the deformation of the tall steel structure factory building under the corresponding construction conditions is calculated, and the displacement and stress results of the construction nodes are output to obtain the steel structure deflection data. Based on the construction condition BIM model and the preset installation process rule library, the installation space requirements, maintenance passage requirements, and welding operation space requirements are identified and extracted to generate process constraint data.

7. The BIM-based dynamic management method for electromechanical construction according to claim 4, characterized in that, The steel structure deflection data, the electromechanical load, and the process constraint data are input into the multi-objective optimization model for iterative calculation and optimization, outputting an integrated layout scheme for electromechanical pipelines and a positioning scheme for heavy equipment, including: Based on the steel structure deflection data, the mechanical and electrical load, and the process constraint data, multiple alternative spatial layout schemes are generated. The multi-objective optimization model is invoked, and spatial conflict information in the alternative schemes is calculated according to the collision detection rules. Based on the load-deflection calculation rules, calculate the impact of the load distribution corresponding to the alternative scheme on the deflection of the steel structure. Based on the process constraint data, determine the degree of compliance of the alternative solutions with the installation and maintenance requirements; Calculate the economic indicators corresponding to the alternative solutions; Based on the spatial conflict information, the impact information, the compliance degree, and the economic indicators, the multiple alternative schemes are comprehensively evaluated and iteratively optimized. The scheme that meets the preset optimization target is selected to obtain the electromechanical pipeline integrated layout scheme and the heavy equipment positioning scheme.

8. The BIM-based dynamic management method for electromechanical construction according to claim 1, characterized in that, Also includes: Based on the integrated layout scheme of electromechanical pipelines and the positioning scheme of heavy equipment, a virtual simulation model of heavy equipment hoisting is generated; Input the equipment hoisting sequence and path into the virtual simulation model to extract dynamic load data; The dynamic load data is input into the initial BIM collaborative model to calculate the real-time stress and deformation data of the steel structure during the hoisting process; The real-time stress and deformation data are compared with preset safety thresholds to generate hoisting operation guidance information based on the comparison results.

9. The BIM-based dynamic management method for electromechanical construction according to claim 1, characterized in that, Also includes: The integrated layout scheme of electromechanical pipelines is linked with the construction schedule to generate a 4D construction simulation model with a time dimension. Collect on-site installation progress, quality inspection data, and environmental monitoring data during the construction process; The on-site installation progress, the quality inspection data, and the environmental monitoring data are compared and analyzed in real time with the planned data and quality and safety standards of the corresponding nodes in the 4D construction simulation model. Based on the comparative analysis results, dynamic early warnings are issued for construction progress deviations and safety risks, and construction adjustment suggestions are generated.

10. A BIM-based dynamic management system for electromechanical construction, characterized in that, include: The collaborative modeling standards and family library management module is used to build BIM modeling standards for collaboration between steel structure and MEP (Mechanical and Electrical) disciplines, and to establish an integrated BIM family library that includes steel structure deformation parameters and mechanical and electrical load parameters. The initial BIM collaborative model construction module is used to construct an initial BIM collaborative model based on the integrated BIM family library. The multi-objective optimization model construction and calculation module is used to establish a multi-objective optimization model with the optimization objectives of avoiding pipeline collisions and controlling the impact of mechanical and electrical loads on the deflection of steel structures. The scheme generation module is used to input the initial construction scheme into the initial BIM collaborative model and output steel structure deflection data, mechanical and electrical load and process constraint data. The steel structure deflection data, the electromechanical load, and the process constraint data are input into the multi-objective optimization model for iterative calculation and optimization, and the integrated layout scheme of electromechanical pipelines and the positioning scheme of heavy equipment are output.

Images