Architecture layout analysis optimization method and device for fabricated building construction

Abstract

The invention discloses an architecture layout analysis optimization method and device for prefabricated building construction, and relates to the technical field of layout data processing, and the method comprises the steps: obtaining a design drawing, and classifying architecture layouts; according to the architecture category distribution, analyzing assembly space-time constraint influence, and obtaining assembly constraint conditions; connecting the global optimization model, and performing global search optimization based on assembly constraint conditions to obtain a global optimization strategy; establishing a loss evaluation function; and according to the global optimization strategy, evaluating each architecture category strategy by using a loss evaluation function, searching a local equilibrium point to optimize the global strategy, and determining a layout optimization execution strategy. The technical problems of low construction efficiency, frequent assembly conflicts and insufficient structural stability caused by unreasonable architecture layout in assembly type building construction are solved, and the purposes of optimizing the assembly sequence through global search optimization and local equilibrium point search, improving the efficiency and precision of assembly type building construction, reducing assembly conflicts and improving the construction quality are achieved. And the structural stability is enhanced.

Description

Technical Field

[0001] This application relates to the technical field of layout data processing, and specifically to an architecture layout analysis and optimization method and device for prefabricated building construction. Background Art

[0002] With the increasing global emphasis on sustainable development and the concept of green buildings, prefabricated buildings, as an efficient, environmentally friendly, and energy-saving construction method, have gradually become an important development direction in the construction industry. Prefabricated buildings prefabricate components and fittings in factories and then transport them to the site for assembly and installation, significantly reducing the manpower and material requirements at the construction site, reducing building material losses and the generation of construction waste, shortening the construction period, and improving construction efficiency. However, the complexity of prefabricated building construction has also increased. Especially in terms of architecture layout analysis, since prefabricated buildings involve multiple architecture categories (such as main support architecture, electromechanical architecture, external space architecture, etc.), and these architectures need to coordinate with each other, layout analysis has become particularly complex. Traditional layout analysis methods often fail to comprehensively consider various factors, resulting in problems such as unreasonable assembly sequences, low efficiency, and frequent conflicts. Summary of the Invention

[0003] This application provides an architecture layout analysis and optimization method and device for prefabricated building construction to solve the technical problems of low construction efficiency, frequent assembly conflicts, and insufficient structural stability caused by unreasonable architecture layout in prefabricated building construction, achieving the effects of optimizing the assembly sequence through global search optimization and local equilibrium point search, improving the efficiency and accuracy of prefabricated building construction, reducing assembly conflicts, and enhancing structural stability.

[0004] The present application provides an architecture layout analysis and optimization method for prefabricated building construction. The method includes: obtaining the design drawings of prefabricated building construction, classifying the architecture layout according to the design drawings, and determining the architecture category distribution, where the architecture categories include the main support architecture, the mechanical and electrical architecture, and the external space architecture; according to the architecture category distribution, performing an analysis on the influence of assembly time-space constraints on each architecture category to obtain assembly restriction conditions, where the assembly restriction conditions are the assembly sequence constraint information for different architecture categories or different distributions in the same architecture category; connecting to a global optimization model, and based on the assembly restriction conditions, with the goals of maximizing structural stability, assembly efficiency, and minimizing assembly conflicts, performing global search optimization for assembly to obtain a global optimization strategy, where the global optimization strategy is the strategy with the best target evaluation value for the assembly sequence of the architecture layout; respectively establishing loss evaluation functions for the main support architecture, the mechanical and electrical architecture, and the external space architecture; according to the global optimization strategy, using the loss evaluation functions to perform strategy evaluation for each architecture category, and based on the evaluation results, searching for local equilibrium points between each architecture category to optimize the layout of the global optimization strategy, and determining a layout optimization execution strategy, where the layout optimization execution strategy is an execution plan for assembly construction after locally optimizing and adjusting the global optimization strategy.

[0005] The present application also provides an architecture layout analysis and optimization device for prefabricated building construction, including: an architecture layout classification module, which is used to obtain the design drawings of prefabricated building construction, classify the architecture layout according to the design drawings, and determine the architecture category distribution, where the architecture categories include the main support architecture, the mechanical and electrical architecture, and the external space architecture; an influence analysis module, which is used to perform an analysis on the influence of assembly time-space constraints on each architecture category according to the architecture category distribution to obtain assembly restriction conditions, where the assembly restriction conditions are the assembly sequence constraint information for different architecture categories or different distributions in the same architecture category; a global search optimization module, which is used to connect to a global optimization model, and based on the assembly restriction conditions, with the goals of maximizing structural stability, assembly efficiency, and minimizing assembly conflicts, perform global search optimization for assembly to obtain a global optimization strategy, where the global optimization strategy is the strategy with the best target evaluation value for the assembly sequence of the architecture layout; a loss evaluation function establishment module, which is used to respectively establish loss evaluation functions for the main support architecture, the mechanical and electrical architecture, and the external space architecture; a layout optimization module, which is used to according to the global optimization strategy, use the loss evaluation functions to perform strategy evaluation for each architecture category, and based on the evaluation results, search for local equilibrium points between each architecture category to optimize the layout of the global optimization strategy, and determine a layout optimization execution strategy, where the layout optimization execution strategy is an execution plan for assembly construction after locally optimizing and adjusting the global optimization strategy.

[0006] The method and device for analyzing and optimizing the architecture layout for prefabricated building construction proposed in this application are used to obtain the design drawings of prefabricated building construction, classify the architecture layout according to the design drawings, and determine the architecture category distribution, where the architecture categories include the main support architecture, the mechanical and electrical architecture, and the external space architecture; according to the architecture category distribution, perform an analysis on the impact of assembly time-space constraints on each architecture category to obtain assembly constraint conditions, and the assembly constraint conditions are the assembly sequence constraint information for different architecture categories or different distributions in the same architecture category; connect the global optimization model, and based on the assembly constraint conditions, with the goals of maximizing structural stability, assembly efficiency, and minimizing assembly conflicts, perform global search optimization for assembly to obtain a global optimization strategy, and the global optimization strategy is the strategy with the best target evaluation value for the assembly sequence of the architecture layout; respectively establish loss evaluation functions for the main support architecture, the mechanical and electrical architecture, and the external space architecture; according to the global optimization strategy, use the loss evaluation functions to evaluate the strategies for each architecture category, and based on the evaluation results, search for local equilibrium points between each architecture category to optimize the layout of the global optimization strategy, and determine the layout optimization execution strategy, and the layout optimization execution strategy is the execution plan for assembly construction after locally optimizing and adjusting the global optimization strategy. This solves the technical problems of low construction efficiency, frequent assembly conflicts, and insufficient structural stability caused by unreasonable architecture layout in prefabricated building construction, and achieves the effects of optimizing the assembly sequence, improving the efficiency and accuracy of prefabricated building construction, reducing assembly conflicts, and enhancing structural stability through global search optimization and local equilibrium point search. Description of the Drawings

[0007] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the device according to the embodiments of the present application. It should be understood that the operations in the front or below do not necessarily need to be executed precisely in sequence. On the contrary, according to needs, various steps can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several steps can be removed from these processes.

[0008] Figure 1 Schematic flowchart of the method for analyzing and optimizing the architecture layout for prefabricated building construction provided by the embodiment of the present application; Figure 2 Schematic structural diagram of the device for analyzing and optimizing the architecture layout for prefabricated building construction provided by the embodiment of the present application.

[0009] Description of the reference numerals: Architecture layout classification module 1, Impact analysis module 2, Global search optimization module 3, Loss evaluation function establishment module 4, Layout optimization module 5. Detailed Embodiments

[0010] The above description is only an overview of the technical solution of this application. In order to understand the technical means of this application more clearly, it can be implemented in accordance with the content of the specification. And in order to make the above and other purposes, features and advantages of this application more obvious and understandable, the specific implementation manners of this application are specifically given below.

[0011] In order to make the purpose, technical solution and advantages of this application clearer, the following will further describe this application in detail with reference to the accompanying drawings. The described embodiments should not be regarded as limitations of this application. All other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0012] In the following description, "some embodiments" are involved, which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "first / second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product or server including a series of steps or units does not necessarily limit to those steps or units clearly listed, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application.

[0013] The embodiment of this application provides an architecture layout analysis and optimization method for prefabricated building construction, as Figure 1 shown, the method includes: Obtain the design drawings of prefabricated building construction, classify the architecture layout according to the design drawings, and determine the architecture category distribution, where the architecture categories include the main support architecture, the mechanical and electrical architecture, and the external space architecture.

[0014] In the embodiment of the present application, in the initial stage of prefabricated building construction, the system terminal establishes a connection with the Building Information Model (BIM), and uses the interface of the BIM model to export the three-dimensional design drawings of prefabricated building construction. Among them, as an important tool for modern building design and construction, the BIM model integrates the geometric, physical, and functional characteristic information of the building project, providing highly visual and parametric data support for the entire construction process. The design drawings obtained by the system terminal through the BIM model include detailed information such as the overall structure and internal layout of the building. Subsequently, by analyzing the component database of the BIM model, the attributes of each component are obtained, including its size, position, material, type, etc., and all components in the building are classified according to the function, structural characteristics of the components and their relationship with other components, and divided into the main support structure, the mechanical and electrical structure, and the external space structure. For example, by identifying the load-bearing characteristics of these components and their positions in the overall building, it is determined that they belong to the main support structure, and by analyzing the connection relationship and functional attributes of the components, the components that make up the mechanical and electrical structure are identified. Among them, the main support structure constitutes the basic framework of the building and is responsible for bearing the weight and load of the entire building, such as columns, beams, walls, foundations, etc. The mechanical and electrical structure covers various mechanical and electrical equipment and their supporting facilities in the building, such as the power system, pipeline system, ventilation equipment, etc., to ensure the normal operation of the building. The external space structure focuses on the design of the building periphery, such as the facade, windows, doors, curtain walls, etc., which is crucial for the appearance and functionality of the building.

[0015] According to the distribution of the above-mentioned architecture categories, an analysis of the influence of assembly time-space constraints is carried out on each architecture category to obtain assembly constraint conditions, and the assembly constraint conditions are the assembly sequence constraint information of different architecture categories or different distributions in the same architecture category.

[0016] In one embodiment, after obtaining the distribution of the architectural categories in the prefabricated building construction, the system terminal performs a spatio-temporal constraint impact analysis on the assembly process of each architectural category according to the distribution of the architectural categories and the design drawings, that is, performs a spatial constraint and sequential constraint analysis on the distribution of the architectural categories and the design drawings, obtains the intra-class spatial constraints and the inter-class spatial constraints, and stores these two spatial constraint relationships in the assembly constraint conditions to ensure the coordination and stability of the assembly process. Among them, the intra-class spatial constraint refers to the constraint on the assembly sequence and spatial relationship between components within the same architectural category. The inter-class spatial constraint refers to the constraint on the spatial and temporal relationships between different architectural categories during the assembly process. In terms of the intra-class spatial constraint, the system terminal clarifies the assembly sequence and spatial limitations of each component according to the physical relationship and functional requirements between the components. For example, in the main support structure, the columns must be installed before the beams because the columns, as the main load-bearing structure, need to be installed at an early stage of the building, and the beams need to rely on the columns for support to be installed in place. The installation of the beams also needs to be completed before the floor slab to provide sufficient support for the floor slab. Similarly, in the mechanical and electrical system, the installation of the pipes must be precisely matched with the positions of the holes reserved in the main structure to avoid damage to the structure in the later stage. In terms of the inter-class spatial constraint, attention is paid to the interaction and influence between different architectural categories. For example, sufficient space needs to be reserved between the main support structure and the mechanical and electrical structure so that pipes, cables, etc. can pass through the support structure smoothly while ensuring the overall stability of the support structure is not affected. Between the mechanical and electrical structure and the external space structure, the interfaces of electrical, ventilation and other equipment need to be arranged in advance before the installation of the exterior wall to ensure that there is no spatial conflict between the mechanical and electrical equipment and the exterior wall. For the main support structure and the external space structure, it is required that the external space structures such as the exterior wall be installed after the main support structure is completed, but the accuracy of the connection points must be strictly controlled during the installation process to ensure that the support structure can provide sufficient bearing capacity for the external space structure. By clarifying these intra-class and inter-class spatial constraints, it is possible to ensure that each stage in the prefabricated building construction process proceeds in an orderly manner, avoid construction problems caused by unreasonable assembly sequences or spatial conflicts, and thus improve the construction efficiency and building quality.

[0017] Further, the present application provides a spatio-temporal constraint impact analysis on each architectural category according to the distribution of the architectural categories to obtain assembly constraint conditions, including: Performing a physical space overlap identification analysis according to the distribution of the architectural categories to obtain the intra-class overlapping space and the inter-class overlapping space; configuring spatial constraint relationships according to the intra-class overlapping space and the inter-class overlapping space; identifying the assembly sequence constraints between each architectural category, where the assembly sequence constraints include time sequence, spatial constraints, and operation equipment space conflicts, to obtain assembly sequence constraint relationships; integrating the constraint relationships according to the spatial constraint relationships and the assembly sequence constraint relationships to obtain the assembly constraint conditions.

[0018] Preferably, the system terminal analyzes the component space relationships within each architectural category one by one according to the architectural category distribution information. First, it analyzes the components within each architectural category, and uses the architectural category distribution information to determine the specific positions and ranges of these components in three-dimensional space. For example, the spatial positions of components such as columns, beams, and floors within the main support architecture. Then it analyzes whether the components within the same architectural category overlap in physical space. For example, within the main support architecture, it detects whether there is spatial overlap between columns and beams, and between beams and floors, and these overlaps may affect the construction sequence and methods. Once overlapping spaces are detected, the system terminal records these overlapping areas and generates in-class overlapping spaces to avoid conflicts during actual construction. Similarly, the system terminal uses the architectural category distribution information to perform a relative position analysis on the components between different architectural categories. For example, it analyzes the spatial relationship between the columns in the main support architecture and the pipes in the mechanical and electrical architecture, and checks whether these different types of architectures overlap in physical space. Through the cross-analysis of the architectural category distribution, the inter-class spatial overlaps are identified. For example, the pipes of the mechanical and electrical system may need to pass through the reserved holes in the main support architecture. If unreasonable overlap is detected between the pipes and the columns, these conflict points are marked and inter-class overlapping spaces are generated.

[0019] Preferably, based on the in-class overlapping spaces and inter-class overlapping spaces obtained from the analysis, the system terminal determines key parameters such as the physical space overlap, spatial operation requirements, and interface requirements of each component, and obtains the spatial constraint relationship. Among them, the physical space overlap can ensure that there are no spatial conflicts during the installation process, such as the coordination of the reserved space for pipes within the main framework. The spatial operation requirements can ensure that the operation spaces of construction equipment and personnel do not conflict with other architectures, such as the reserved space for the operation of lifting equipment. The interface requirement is the interface of the mechanical and electrical architecture pre-arranged before the installation of the external space architecture, which can ensure the smooth progress of subsequent installation.

[0020] Preferably, the system terminal analyzes the dependency relationships between various architecture categories to determine the chronological order that must be followed during the construction process. For example, the main support architecture is the core load-bearing structure of a building, so it usually needs to be completed before other architectures (such as the mechanical and electrical architecture and the external space architecture). Then, based on the analysis results, chronological order constraint conditions are set. For example, the main support architecture must be completed before the mechanical and electrical architecture and the external space architecture; the cable trays and pipes in the mechanical and electrical system need to be installed before the wall is enclosed; the external wall installation must be carried out after the main support architecture reaches a certain level of stability. Subsequently, the space requirements of different architecture categories during the construction process and the space reserved between various architectures are analyzed. For example, holes need to be reserved in the main support architecture for the pipes and cables in the mechanical and electrical architecture to pass through, and pipe and cable interfaces also need to be reserved during the external wall installation. Then, based on the analysis results, space constraint conditions are set. For example, the main support architecture needs to reserve space for the pipes and cables to pass through during installation; before the external wall installation, the necessary equipment interfaces in the mechanical and electrical system must be pre-arranged. After that, the equipment operation space required during the construction process is analyzed, especially the operation space for large equipment (such as cranes and hoists). For example, when installing large beams or walls, the lifting equipment requires a large operation space, which may conflict with other construction areas. The possible operation equipment space conflicts during the construction process are detected. For example, during the installation of the main support architecture, the operation of the lifting equipment may conflict with the mechanical and electrical equipment to be installed soon, and during the external wall installation, the operation space of the equipment may conflict with the mechanical and electrical system already installed inside. Then, based on the analysis results, operation equipment space constraint conditions are set. For example, when installing the main support architecture, it is necessary to ensure that the lifting equipment has enough operation space and all the work that requires equipment operation is completed before the installation of the mechanical and electrical architecture; during the external wall installation, it is necessary to ensure that the equipment already installed inside does not affect the operation of the equipment. Then, the system terminal combines the chronological order, space constraints, and operation equipment space conflicts into a complete assembly sequence constraint relationship. This process ensures that all constraint conditions are fully considered and each step during the construction process can proceed smoothly.

[0021] Preferably, the system terminal integrates the obtained space constraint relationship with the assembly sequence constraint relationship to generate an overall assembly constraint condition. This assembly constraint condition includes factors such as the chronological order, space overlap, and operation equipment space conflicts of each architecture category to ensure that each architecture category can work in coordination during the construction process and avoid any form of assembly conflict or construction delay. These assembly constraint conditions will be used to guide the specific implementation plan of the prefabricated building construction to ensure the efficiency and accuracy of the construction process.

[0022] Furthermore, the present application provides the analysis of the impact of assembly time-space constraints on each architecture category to obtain assembly constraint conditions, including: According to the design drawings, taking each architecture category as the target, construct a spatial layout array with horizontal distribution on the same layer and vertical distribution between layers; according to the spatial layout array, respectively identify from the horizontal overlapping space and the vertical overlapping space to obtain multi-layer spatial constraint relationships; according to the spatial layout array, respectively perform horizontal assembly sequence constraint identification and vertical assembly sequence constraint identification to obtain multi-layer assembly sequence constraint relationships; use the multi-layer spatial constraint relationships and the multi-layer assembly sequence constraint relationships to compensate and expand the spatial constraint relationships and the assembly sequence constraint relationships to obtain the assembly constraint conditions.

[0023] Optionally, based on the obtained design drawings, the system terminal determines the specific locations and distributions of different architectural categories within each floor. For example, the layout positions of the main support architecture (such as columns and beams), the mechanical and electrical architecture (such as pipes and cables), and the external space architecture (such as exterior walls and windows) on each floor. Then, using the architectural category information, the architectural categories on each floor are arranged according to their specific positions in the plane to form a horizontal spatial layout array on the same floor. For example, in a two-dimensional plane, the columns of the main support architecture, the pipes of the mechanical and electrical architecture, and the exterior walls of the external space architecture are arranged into a horizontal array according to the layout information in the design drawings. Similarly, based on the design drawings, the vertical distribution of architectural categories between different floors is analyzed. For example, the vertical extension of columns and mechanical and electrical pipes shown in the design drawings from the foundation to the top floor. Then, using the architectural category information, a vertical spatial layout array between different floors is formed. For example, the vertical position relationship of the main support architecture (such as columns) and the mechanical and electrical architecture (such as pipes) between different floors forms a vertical array. Subsequently, using the horizontal spatial layout array of the same-floor distribution, the planar spatial overlapping areas of each architectural category within the same floor are analyzed. For example, check whether there is spatial overlap between the columns of the main support architecture and the mechanical and electrical pipes, or whether the layout of the exterior wall affects the installation of other architectures. Then, based on the analysis results, the spatial overlapping situation of each architectural category within the same floor is determined, and a horizontal spatial constraint relationship is generated. These relationships specify how to coordinate the installation sequence and space reservation of each architecture within the same floor. Similarly, using the vertical spatial layout array of the inter-floor distribution, the vertical spatial overlapping situation of each architectural category between different floors is analyzed. For example, determine whether there is a spatial conflict between the vertical channels of mechanical and electrical pipes between different floors and the columns of the main support architecture. Then, according to the analysis results, the spatial overlapping situation of architectural categories between different floors is determined, and a vertical spatial constraint relationship is generated. These relationships specify how to coordinate the vertical installation sequence and space reservation of architectures between different floors. After that, using the horizontal spatial layout array of the same-floor distribution, the assembly sequence of each architectural category within the same floor is determined. For example, determine whether columns need to be installed before beams and floor slabs within the same floor, or whether pipes must be installed before other mechanical and electrical equipment. Then, these identified assembly sequence relationships are recorded, and a horizontal assembly sequence constraint is generated to ensure the orderly progress of construction activities within the same floor. Similarly, using the vertical spatial layout array of the inter-floor distribution, the assembly sequence of architectural categories between different floors is analyzed. For example, determine whether columns must be installed sequentially from bottom to top, and whether mechanical and electrical pipes need to be installed layer by layer after the main structure is completed. Then, based on these identified assembly sequences, a vertical assembly sequence constraint is generated to ensure the orderly connection of construction activities between different floors. Among them, both the horizontal assembly sequence constraint and the vertical assembly sequence constraint include time sequence, spatial constraint, and spatial conflict of operating equipment.The specific process of constructing the multi-layer spatial constraint relationship and the multi-layer assembly sequence constraint relationship is similar to the aforementioned process of constructing the spatial constraint relationship and the assembly sequence constraint relationship. Then, the system terminal uses the obtained multi-layer spatial constraint relationship and multi-layer assembly sequence constraint relationship to compensate the aforementioned obtained spatial constraint relationship and assembly sequence constraint relationship, that is, adding the multi-layer spatial constraint relationship and multi-layer assembly sequence constraint relationship to the spatial constraint relationship and assembly sequence constraint relationship correspondingly, and integrating the expanded spatial constraint relationship and assembly sequence constraint relationship to generate the overall assembly constraint conditions. These assembly constraint conditions cover the spatial requirements, assembly sequence, and time nodes of all architecture categories during the construction process, ensuring the coordination and efficiency of the construction process.

[0024] Connect to the global optimization model, and based on the assembly constraint conditions, with the goals of maximizing structural stability, assembly efficiency, and minimizing assembly conflicts, perform global search optimization for assembly to obtain the global optimization strategy, where the global optimization strategy is the strategy with the best evaluation value of the assembly sequence target for the architecture layout.

[0025] In one embodiment, after obtaining the assembly constraint conditions, the system terminal connects to the global optimization model. The goal of this global optimization model is to maximize structural stability, assembly efficiency, and minimize assembly conflicts as the core, and generate the optimal assembly strategy through a multi-stage optimization strategy, including multiple optimization algorithms, strategies, etc. For example, genetic algorithms, particle swarm optimization algorithms, etc., are used to comprehensively optimize the construction process of prefabricated buildings. In the global optimization model, taking the particle swarm optimization algorithm as an example, the system terminal first initializes the particle swarm according to the assembly constraint conditions, and each particle represents a possible assembly sequence and layout strategy. Then, a fitness function is constructed with the goals of maximizing structural stability, assembly efficiency, and minimizing assembly conflicts. Subsequently, the particle swarm is iteratively optimized in the search space. In each iteration, each particle is updated according to its fitness value, and the system terminal evaluates the solution after each optimization through the fitness function to determine whether it meets the goal. If the current fitness value does not reach the predetermined goal, continue the iteration, adjust the position and velocity of the particles until a solution that meets the requirements is found. After multiple iterations, when the value of the fitness function reaches the predetermined goal, the system terminal regards the current solution as a better initial solution, that is, the initial global solution, which reflects a preliminarily optimized global assembly strategy. Based on the initial global solution, the system terminal analyzes the installation sequences of different architecture categories through the mixed strategy Nash equilibrium method and identifies the local equilibrium points for each architecture category. These equilibrium points are the key nodes for the system terminal to optimize locally while ensuring global optimization. For each architecture category, a local optimal strategy is achieved at the local equilibrium point. Specifically, the local equilibrium strategy includes the assembly sequence, equipment usage, and time arrangement of each architecture category in actual construction. These strategies ensure that the installation sequence of each architecture category is locally optimal, thereby reducing assembly conflicts and improving construction efficiency. After obtaining the local optimal strategies, these strategies are integrated with the initial global optimization strategy. Through this integration, it is ensured that the global optimization strategy can not only provide guidance for the overall layout but also further improve assembly efficiency and stability through local optimization. After the local equilibrium points are reached, the local optimal strategies are integrated with the global optimization strategy. The local equilibrium strategy supplements the details of the global strategy, so that the final global strategy can not only improve the overall assembly efficiency but also reduce losses and conflicts in the local architecture. By combining global and local optimization strategies, the system terminal forms a multi-level optimization plan. The global strategy provides macro guidance on the assembly sequence and layout, while the local strategy makes fine-tuning in the specific implementation of each architecture category to ensure that every detail is optimized. After integration and optimization, the system terminal generates the final global optimization strategy. This strategy not only macroscopically considers the structural stability, assembly efficiency, and minimization of assembly conflicts of the entire building but also microscopically ensures that the assembly sequence and time arrangement of each architecture category reach the optimal through the application of local equilibrium strategies, making the construction process more efficient and stable.

[0026] Furthermore, the present application provides the connection global optimization model. Based on the assembly constraint conditions, with the goals of maximizing structural stability, assembly efficiency, and minimizing assembly conflicts, global search optimization for assembly is carried out to obtain a global optimization strategy, including: Obtain the structural type and assembly component information of prefabricated building construction, conduct historical strategy search with the structural type and assembly component information to construct an initial strategy; construct a fitness function with the goals of maximizing structural stability, assembly efficiency, and minimizing assembly conflicts; based on the initial strategy, initialize the particle swarm with the assembly sequence as the solution form, each particle moves in the solution space restricted by the assembly constraint conditions, and gradually update the initial strategy to obtain an updated strategy; evaluate the updated strategy through the fitness function, and perform strategy iterative update through updating the speed and position. With the maximum fitness evaluation result as the search condition, when the iteration times or target conditions are met, the global optimization strategy is obtained.

[0027] Preferably, the system terminal first obtains the structural types of prefabricated building construction (such as the main support structure, the mechanical and electrical structure, the external space structure, etc.) and the assembly component information of each structural type (such as columns, beams, pipes, cables, walls, etc.). These information will serve as the basis for subsequent strategy construction and optimization. Then, using the obtained structural types and assembly component information, the system terminal searches for historical strategies. Historical strategies are based on the empirical data of past similar construction projects, and these data contain the assembly sequences and layout strategies of different structural types under different construction conditions. By analyzing the historical strategies, the system terminal constructs an initial strategy. The initial strategy reflects the preliminary assembly sequence and layout under the current structural type and assembly component information, serving as the starting point of the optimization process. Subsequently, the system terminal determines the optimization objectives, namely, taking structural stability, maximizing assembly efficiency, and minimizing assembly conflicts as the core objectives, constructs the first objective function, the second objective function, and the third objective function according to this objective, and then integrates these three objective functions to construct a fitness function. The fitness function will comprehensively consider the structural stability, time loss, and conflict time of each strategy, assign a fitness value to each strategy, and be used to evaluate its advantages and disadvantages. After that, according to the initial strategy, the system terminal constructs a solution space with the assembly sequence as the solution form. In this space, each solution represents a possible assembly sequence and layout strategy. In the solution space, the system terminal initializes the particle swarm, and each particle represents a possible solution, that is, an assembly strategy. The initial position of the particle is set based on the initial strategy. Then, in the solution space restricted by the assembly constraint conditions, each particle moves according to the set speed and position. The particles explore different assembly sequences and layout schemes in the solution space to find a better strategy. As the particle swarm moves, the initial strategy is gradually updated. After each move, the position update of the particle reflects the improvement of the assembly strategy, generating a new updated strategy. Then, the constructed fitness function is used to evaluate each updated strategy and calculate its fitness value. The higher the fitness value, the better the strategy is under the current conditions. Further, the system terminal adjusts the speed and position of the particles according to the fitness evaluation results to optimize the strategy. The particles with high fitness will affect the moving directions of other particles and gradually converge to the optimal solution. Subsequently, taking the maximum fitness evaluation result as the search condition, the system continues to iterate and optimize. When the particle swarm reaches the preset number of iterations or the fitness value tends to be stable and reaches the set threshold, the system terminal stops the iteration and obtains the initial global solution. After that, through the same local adjustment as described above, the initial global solution is fine-tuned to ensure that every detail is optimized, and the final global optimization strategy is generated. This strategy achieves the expected optimization objectives in terms of structural stability, time loss, and conflict time, can ensure the efficient and smooth progress of the construction process, reduce conflicts and resource waste, and maximize the overall construction efficiency and the stability of the building structure.

[0028] Furthermore, the present application provides a method for constructing a fitness function with the objectives of maximizing the structural stability, maximizing the assembly efficiency, and minimizing the assembly conflict, including: Establish the influence relationship between the main support structure, electromechanical structure, external space structure and structural stability, and construct the first objective function with the maximum structural stability as the goal; fit the time loss relationship between the assembly sequence and the moving distance of the assembly equipment, and construct the second objective function with the minimum time loss as the goal; establish the time conflict relationship between the assembly space, equipment use conflict and waiting time, and construct the third objective function with the minimum conflict time as the goal; configure the assembly influence weights of structural stability, assembly efficiency and assembly conflict, and use the assembly influence weights to integrate the first objective function, the second objective function and the third objective function to construct the fitness function; wherein, the expression of the fitness function is: .

[0029] Optionally, the system terminal first analyzes the influence of the main supporting structure, electromechanical structure and external space structure on the overall structural stability. By applying various loads required by the building design (such as static loads, wind loads, seismic loads, etc.) to the BIM model, and setting the boundary conditions of the building (such as foundation fixation, etc.). Through linear and nonlinear analysis, the structural response of the building under normal and extreme conditions is evaluated, with special attention to the performance of each structural category under different loads. Then perform buckling analysis and stiffness calculation to evaluate the stability of the main supporting structure, electromechanical structure and external space structure when bearing loads. According to the analysis results, the normalization method is used to quantify the influence of each structural category on the overall structural stability as a stability coefficient, that is, (Stability coefficient of the main supporting structure), (Stability coefficient of electromechanical structure), The stability coefficient of the external space structure). Then, with the goal of maximizing structural stability, the first objective function is constructed: ;in, They are the influence weights of the main supporting structure, electromechanical structure, and external space structure on the structural stability. These weights are used to balance the impact of different structure categories on the overall building structure.

[0030] Optionally, the system terminal defines a time loss coefficient in the assembly process by analyzing the time loss relationship between the assembly sequence and the moving distance of the assembly equipment in the assembly process: , and with the goal of minimizing time loss, the second objective function is constructed: ;in, is the assembly time of the i-th component, which is a variable indicating the time required for a single component in the assembly process. The number of components refers to the total number of components to be assembled in the entire construction project, reflecting the complexity and scale of the construction project. The time coefficient of equipment movement is used to convert the distance of equipment movement into time loss, reflecting the specific impact of the movement distance on the construction time. The larger the value, the more significant the impact of equipment movement on time. The total distance of equipment movement is the total distance that equipment (such as cranes, hoists, forklifts, etc.) moves between different positions, directly affecting the construction efficiency.

[0031] Optionally, the system terminal analyzes the spatial overlap between components and the conflict relationship of equipment use during the assembly process, and defines the third objective function with the goal of minimizing the conflict time: ; where represents the amount of spatial overlap between component i and component j, is a measure of the conflict between two components in space, used to quantify the negative impact of this spatial conflict on construction. represents the waiting time caused by equipment use conflicts during the assembly process. This waiting time will delay the construction progress and is one of the key factors affecting construction efficiency.

[0032] Optionally, the system terminal integrates the constructed first objective function, second objective function, and third objective function, and finally constructs a fitness function: . This fitness function comprehensively considers the goals of maximizing structural stability, minimizing time loss, and minimizing assembly conflicts, and is used to evaluate the advantages and disadvantages of each assembly strategy. Through this process, the system terminal can evaluate and optimize the assembly strategy based on the assembly constraints, using the fitness function to ensure the best balance of structural stability, assembly efficiency, and assembly conflicts during the assembly process.

[0033] Establish loss evaluation functions for the main body support architecture, the mechanical and electrical architecture, and the external space architecture respectively.

[0034] In one embodiment, the system terminal constructs the expected revenue functions of the main body support architecture, the mechanical and electrical architecture, and the external space architecture according to the sensitivity of each architecture to different strategies and the immediate revenue of different strategy combinations. Subsequently, based on this expected revenue function, combined with the revenue results of the assembly strategy, a loss value fitting is performed to construct a loss evaluation function to help evaluate and minimize various losses during the construction process.

[0035] Furthermore, the present application provides establishing loss evaluation functions for the main body support architecture, the mechanical and electrical architecture, and the external space architecture respectively, including: Establish the expected revenue functions of the main body support architecture, the mechanical and electrical architecture, and the external space architecture, and the expected revenue function is: ; Based on the loss value fitting of the revenue results of the expected revenue function and the assembly strategy, construct the loss evaluation function. .

[0036] Preferably, the system terminal establishes an expected revenue function for the main body support architecture, the electromechanical architecture, and the external space architecture respectively , representing the expected revenue value of each architecture under different strategy combinations. The expected revenue function is specifically as follows: ; where is the probability of selecting strategy for architecture n, and this probability is obtained based on historical data and expert experience. is the immediate revenue function of architecture m under the strategy combination , indicating the revenue or benefit obtained by architecture m under the given strategy combination , including multiple aspects such as quality assessment after assembly, material savings, time savings, etc. After constructing the expected revenue function, the system terminal estimates the loss value based on the revenue results of the expected revenue function and the assembly strategy, and constructs a loss evaluation function , which is used to evaluate the actual loss of a certain architecture relative to the theoretical revenue under the current strategy combination. The loss evaluation function is specifically as follows: is the loss evaluation function of architecture m, reflecting the loss of benefits under strategy . is the expected revenue function representing the theoretical revenue function of architecture m under the strategy combination . is the actual revenue of architecture m under the current global optimization strategy combination , and this actual revenue is obtained from actual construction data or experimental data. By calculating the loss evaluation function of each architecture, the system terminal can determine the actual loss of each architecture category under the current strategy. This helps to identify the deficiencies in the strategy combination. After understanding the loss situation, the strategy can be adjusted and optimized to reduce the gap between the actual revenue and the expected revenue, and ultimately make the assembly process of each architecture more efficient and economical.

[0037] According to the global optimization strategy, use the loss evaluation function to evaluate the strategies of each architecture category, search for the local equilibrium points between each architecture category based on the evaluation results to optimize the layout of the global optimization strategy, and determine the layout optimization execution strategy, where the layout optimization execution strategy is the execution plan for assembly construction after local optimization adjustment of the global optimization strategy.

[0038] In one embodiment, after obtaining the global optimization strategy, the system terminal plans the overall assembly sequence and layout based on the obtained global optimization strategy. This strategy comprehensively considers objectives such as the structural stability of the building, maximizing assembly efficiency, and minimizing assembly conflicts. Then, the global optimization strategy is used as a preliminary guiding plan, covering the strategic layout and construction arrangements of all architecture categories. Subsequently, the assembly sequence strategies of each architecture type are extracted, and the corresponding type of assembly sequence strategy is evaluated using the loss evaluation function of each architecture type to determine how each architecture category performs under the current global strategy and identify which strategy combinations result in greater losses or inefficiencies. After that, through the loss evaluation, it is identified which architecture categories may have problems or not reach the optimal state under the current global strategy. These problems may be related to the selection of local strategies, such as the assembly sequence, material use, equipment configuration, etc. of a certain architecture category. Then, based on the loss evaluation results, local optimization is performed for each architecture category to search for local equilibrium points. The local equilibrium point refers to the point at which, based on the current global strategy, the performance of this architecture category reaches a relatively optimal state through local adjustment. During the search process, the system terminal adjusts the assembly sequence, material selection, or equipment configuration of individual architecture categories to reduce local losses and improve overall efficiency. Then, the local equilibrium points of each architecture category are integrated with the global optimization strategy. This integration process aims to further improve the performance of the overall assembly plan by fine-tuning and optimizing local strategies. In the integrated layout optimization plan, the system terminal generates the final layout optimization execution strategy. This strategy is an optimized execution plan obtained by adjusting the global optimization strategy in combination with the local equilibrium points of each architecture category. The layout optimization execution strategy will be used as a guiding plan in actual assembly construction to ensure the maximization of global objectives while achieving relative optimality at each local level.

[0039] Furthermore, the present application provides a method for evaluating the strategies of each architecture category using the loss evaluation function according to the global optimization strategy, searching for local equilibrium points between each architecture category based on the evaluation results to optimize the layout of the global optimization strategy, and determining the layout optimization execution strategy, including: Identifying assembly nodes according to the global optimization strategy, extracting the assembly sequence strategies of each architecture type, including the assembly sequence nodes and their timing relationships in the global optimization strategy; evaluating the corresponding type of assembly sequence strategy through the loss evaluation function of each architecture type to obtain the evaluation results; performing loss balance calculation according to the evaluation results of each architecture type to determine the local equilibrium points, and using the local equilibrium points to optimize the layout of the global optimization strategy to obtain the layout optimization execution strategy.

[0040] Optionally, the system terminal first analyzes the global optimization strategy and identifies the assembly nodes therein. Assembly nodes refer to the specific assembly steps or positions of various key architecture types in the entire assembly process. These nodes reflect the specific operations and sequences required for different architecture types during assembly. Based on the identification of assembly nodes, the assembly sequence strategy for each architecture type is extracted. This includes specific assembly sequence nodes (such as the installation sequence of the main body support architecture, the wiring sequence of the electromechanical architecture, etc.), as well as the timing relationships of these nodes in the global optimization strategy (i.e., the time sequence and interdependent relationships of each node). Subsequently, using the loss evaluation function of each architecture type, the extracted assembly sequence strategy is evaluated. The loss evaluation function calculates the loss situation of each strategy under the current assembly sequence, including time delay, material waste, equipment conflict, etc. By evaluating each assembly sequence strategy, the system terminal can obtain the strategy performance data of each architecture type. The evaluation results will show the loss degree of each architecture type under the current strategy, thereby helping to identify the parts that may need adjustment. After that, loss equilibrium calculation is performed based on the loss evaluation results. To find the optimal loss allocation point, the system terminal uses the Nash equilibrium algorithm for calculation. Nash equilibrium is a game theory method used to find an equilibrium state among multiple participants (i.e., multiple architecture types), that is, in this state, no architecture type can reduce its own loss by unilaterally changing the strategy. Specifically, the system terminal first determines each architecture category as a participant and matches a loss function for each participant. Subsequently, a strategy combination is initialized among all possible strategy combinations. The system terminal calculates the loss value of each participant under the current strategy combination and optimizes the strategy of each participant one by one, that is, under the condition that the strategies of other participants remain unchanged, adjusts the strategy of this participant to minimize its loss. If the loss can be reduced by adjusting the strategy, the system terminal will update this strategy combination and recalculate the loss values of all participants. Continuously check whether there is any participant who can further reduce the loss by unilaterally changing the strategy. If not, the current strategy combination is the Nash equilibrium point. If there is such a participant, the system terminal will continue to iterate this process until the strategy combination no longer changes and all participants reach the Nash equilibrium state. After that, the system terminal applies the determined Nash equilibrium strategy combination to fine-tune the global optimization strategy and generates a layout optimization execution strategy to guide the actual operation of the assembly construction, ensuring the minimum loss of each architecture category and making necessary dynamic adjustments according to real-time feedback during the construction process.

[0041] In the above text, reference is made to Figure 1 a method for analyzing and optimizing the architecture layout for prefabricated building construction according to an embodiment of the present invention is described in detail. Next, reference will be made to Figure 2 describe an apparatus for analyzing and optimizing the architecture layout for prefabricated building construction according to an embodiment of the present invention.

[0042] An architecture layout analysis and optimization device for prefabricated building construction according to an embodiment of the present invention is used to solve the technical problems of low construction efficiency, frequent assembly conflicts, and insufficient structural stability caused by unreasonable architecture layout in prefabricated building construction, and achieve the effects of optimizing the assembly sequence through global search optimization and local equilibrium point search, improving the efficiency and accuracy of prefabricated building construction, reducing assembly conflicts, and enhancing structural stability. The architecture layout analysis and optimization device for prefabricated building construction includes: an architecture layout classification module 1, an influence analysis module 2, a global search optimization module 3, a loss evaluation function establishment module 4, and a layout optimization module 5.

[0043] The architecture layout classification module 1: The architecture layout classification module 1 is used to obtain the design drawings of prefabricated building construction, classify the architecture layout according to the design drawings, and determine the architecture category distribution, where the architecture categories include the main support architecture, the mechanical and electrical architecture, and the external space architecture; The influence analysis module 2: The influence analysis module 2 is used to perform assembly time-space constraint influence analysis on each architecture category according to the architecture category distribution, and obtain assembly constraint conditions, where the assembly constraint conditions are assembly sequence constraint information for different architecture categories or different distributions in the same architecture category; The global search optimization module 3: The global search optimization module 3 is used to connect to the global optimization model, and based on the assembly constraint conditions, with the maximization of structural stability, assembly efficiency, and minimization of assembly conflicts as the goals, perform assembly global search optimization to obtain a global optimization strategy, where the global optimization strategy is the strategy with the best target evaluation value of the assembly sequence of the architecture layout; The loss evaluation function establishment module 4: The loss evaluation function establishment module 4 is used to establish the loss evaluation functions of the main support architecture, the mechanical and electrical architecture, and the external space architecture respectively; The layout optimization module 5: The layout optimization module 5 is used to perform strategy evaluation on each architecture category according to the global optimization strategy, use the loss evaluation function, search for local equilibrium points between each architecture category based on the evaluation results to optimize the layout of the global optimization strategy, and determine the layout optimization execution strategy, where the layout optimization execution strategy is the execution plan for assembly construction after locally optimizing and adjusting the global optimization strategy.

[0044] Further, the influence analysis module 2 further includes: According to the architecture category distribution, perform physical space overlap identification analysis to obtain intra-class overlap space and inter-class overlap space; configure space constraint relationships according to the intra-class overlap space and inter-class overlap space; identify the assembly sequence constraints between each architecture category, where the assembly sequence constraints include time sequence, space constraints, and operating equipment space conflicts, and obtain the assembly sequence constraint relationships; integrate the constraint relationships according to the space constraint relationships and the assembly sequence constraint relationships to obtain the assembly constraint conditions.

[0045] Furthermore, the impact analysis module 2 further includes: Based on the design drawings, with each architecture category as the target, construct a spatial layout array with horizontal distribution at the same layer and vertical distribution between layers; according to the spatial layout array, respectively identify from the horizontal overlapping space and the vertical overlapping space to obtain multi-layer spatial constraint relationships; according to the spatial layout array, respectively perform horizontal assembly sequence constraint identification and vertical assembly sequence constraint identification to obtain multi-layer assembly sequence constraint relationships; use the multi-layer spatial constraint relationships and the multi-layer assembly sequence constraint relationships to compensate and expand the spatial constraint relationships and the assembly sequence constraint relationships to obtain the assembly constraint conditions.

[0046] Furthermore, the global search and optimization module 3 further includes: Obtain the structural type and assembly component information of the prefabricated building construction, perform historical strategy search with the structural type and assembly component information to construct an initial strategy; with the maximization of structural stability, assembly efficiency, and minimization of assembly conflicts as the goals, construct a fitness function; based on the initial strategy, initialize the particle swarm with the assembly sequence as the solution form, and each particle moves in the solution space restricted by the assembly constraint conditions to gradually update the initial strategy to obtain an updated strategy; evaluate the updated strategy through the fitness function, and perform strategy iterative update through the update speed and position. With the maximum fitness evaluation result as the search condition, obtain the global optimization strategy when the iteration times or target conditions are met.

[0047] Furthermore, the global search and optimization module 3 further includes: Establish the influence relationship between the main body support architecture, the mechanical and electrical architecture, the external space architecture and the structural stability, and construct a first objective function with the maximum structural stability as the goal; fit the time loss relationship between the assembly sequence and the moving distance of the assembly equipment, and construct a second objective function with the minimum time loss as the goal; establish the time conflict relationship between the assembly space, equipment use conflicts and waiting time, and construct a third objective function with the minimum conflict time as the goal; configure the assembly influence weights of structural stability, assembly efficiency, and assembly conflicts, and use the assembly influence weights to integrate the first objective function, the second objective function, and the third objective function to construct the fitness function; where the expression of the fitness function is: , where is the first objective function, is the stability coefficient of the main body support architecture, is the stability coefficient of the mechanical and electrical architecture, is the stability coefficient of the external space architecture, are respectively the influence weights of the main body support architecture, the mechanical and electrical architecture, and the external space architecture on the structural stability, is the second objective function, is the assembly time of the i-th component, is the number of components, is the time coefficient of equipment movement, is the total distance of equipment movement, is the third objective function, represents the spatial overlap between component i and component j, represents the waiting time caused by equipment usage conflicts during the assembly process.

[0048] Furthermore, the loss evaluation function establishment module 4 further includes: Establish the expected revenue function of the main body support architecture, the mechatronic architecture, and the external space architecture. The expected revenue function is: , where is the architecture n selection strategy probability, is the immediate revenue of architecture m under the strategy combination ; perform loss value fitting based on the expected revenue function and the revenue result of the assembly strategy to construct the loss evaluation function, , where is the loss evaluation function of architecture m, reflecting the benefit loss under the strategy , is the expected revenue function representing the theoretical revenue function of architecture m under the strategy combination ; is the actual revenue of architecture m under the current global optimization strategy combination .

[0049] Furthermore, the layout optimization module 5 further includes: Identify assembly nodes according to the global optimization strategy, extract the assembly sequence strategies of each architecture type, including the assembly sequence nodes and their timing relationships in the global optimization strategy; evaluate the assembly sequence strategies of the corresponding types through the loss evaluation functions of each architecture type to obtain the evaluation results; perform loss balance calculation according to the evaluation results of each architecture type to determine the local equilibrium point, and use the local equilibrium point to optimize the layout of the global optimization strategy to obtain the layout optimization execution strategy.

[0050] The architecture layout analysis and optimization device for prefabricated building construction provided by the embodiments of the present invention can execute the architecture layout analysis and optimization method for prefabricated building construction provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0051] Although the present application makes various references to certain modules in the apparatus according to embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or the server. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the present invention.

[0052] The above specific embodiments do not constitute a limitation to the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A method for analyzing and optimizing the architecture layout of prefabricated building construction, characterized in that: The architecture layout analysis and optimization method for prefabricated building construction includes: Obtaining design drawings for prefabricated building construction, classifying the architecture layout according to the design drawings, and determining the architecture category distribution, wherein the architecture categories include main support architecture, electromechanical architecture, and external space architecture; According to the architecture category distribution, performing assembly time-space constraint influence analysis on each architecture category to obtain assembly constraint conditions, wherein the assembly constraint conditions are assembly sequence constraint information of different architecture categories or different distributions in the same architecture category; Connecting the global optimization model, based on the assembly constraints, with the goals of structural stability, maximizing assembly efficiency and minimizing assembly conflicts, performing assembly global search optimization, and obtaining a global optimization strategy, wherein the global optimization strategy is a strategy with the best target evaluation value of the assembly sequence of the architecture layout; Establishing loss evaluation functions of the main support structure, electromechanical structure, and external space structure respectively; According to the global optimization strategy, the loss evaluation function is used to evaluate the strategies of each architecture category, and based on the evaluation results, the local equilibrium points between the architecture categories are searched to optimize the layout of the global optimization strategy, and the layout optimization execution strategy is determined. The layout optimization execution strategy is an execution plan for assembly construction after local optimization adjustment of the global optimization strategy.

2. The architecture layout analysis and optimization method for prefabricated building construction according to claim 1, characterized in that: According to the architecture category distribution, the assembly time-space constraint impact analysis is performed on each architecture category to obtain assembly constraints, including: According to the architecture category distribution, physical space overlap identification and analysis are performed to obtain intra-class overlap space and inter-class overlap space; According to the intra-class overlapping space and the inter-class overlapping space, a spatial constraint relationship is configured; Identify assembly order constraints between architecture categories, wherein the assembly order constraints include time order, space constraints, and operation equipment space conflicts, and obtain assembly order constraint relationships; The constraint relationships are integrated according to the spatial constraint relationship and the assembly sequence constraint relationship to obtain the assembly constraint condition.

3. The framework layout analysis and optimization method for prefabricated building construction according to claim 2, characterized in that: The analysis of the impact of assembly time-space constraints on each architecture category to obtain assembly constraints also includes: According to the design drawings, taking the various architecture categories as targets, constructing a spatial layout array with horizontal distribution on the same layer and vertical distribution between layers; According to the spatial layout array, identifying the horizontal overlapping space and the vertical overlapping space respectively, to obtain the multi-layer spatial constraint relationship; According to the spatial layout array, horizontal assembly sequence constraint identification and vertical assembly sequence constraint identification are performed respectively to obtain a multi-layer assembly sequence constraint relationship; The multi-layer space constraint relationship and the multi-layer assembly sequence constraint relationship are utilized to compensate and expand the space constraint relationship and the assembly sequence constraint relationship to obtain the assembly constraint condition.

4. The architecture layout analysis and optimization method for prefabricated building construction according to claim 1, characterized in that: The connection global optimization model performs assembly global search optimization based on the assembly constraints, with the goals of structural stability, maximizing assembly efficiency and minimizing assembly conflicts, to obtain a global optimization strategy, including: Acquire the structural type and assembly component information of the prefabricated building construction, perform historical strategy search based on the structural type and assembly component information, and construct an initial strategy; A fitness function is constructed with the objectives of maximizing the structural stability, maximizing the assembly efficiency and minimizing the assembly conflict; Based on the initial strategy, the particle swarm is initialized according to the assembly order as a solution form, each particle moves in the solution space restricted by the assembly constraint condition, and the initial strategy is gradually updated to obtain an updated strategy; The update strategy is evaluated by the fitness function, the strategy is iteratively updated by updating the speed and position, the maximum fitness evaluation result is used as the search condition, and the global optimization strategy is obtained when the iteration number or the target condition is met.

5. The method for analyzing and optimizing the structure layout of prefabricated building construction according to claim 4, characterized in that: With the goals of structural stability, maximizing assembly efficiency and minimizing assembly conflicts, a fitness function is constructed, including: Establishing the influence relationship between the main support structure, electromechanical structure, external space structure and structural stability, and constructing the first objective function with the maximum structural stability as the goal; Fit the time loss relationship between the assembly sequence and the moving distance of the assembly equipment, and construct the second objective function with the goal of minimizing the time loss; Establish the time conflict relationship between assembly space, equipment use conflict and waiting time, and construct the third objective function with the goal of minimizing the conflict time; configuring assembly influence weights of structural stability, assembly efficiency and assembly conflict, integrating the first objective function, the second objective function and the third objective function by using the assembly influence weights, and constructing the fitness function; Wherein, the expression of the fitness function is: ,in, is the first objective function, is the stability coefficient of the main supporting structure, is the stability factor of the electromechanical structure, is the stability coefficient of the external space structure, They are the influence weights of the main support structure, electromechanical structure, and external space structure on the structural stability. is the second objective function, is the assembly time of the i-th component, is the number of components, is the time coefficient of equipment movement, is the total distance the device moves, is the third objective function, represents the spatial overlap between components i and j, Indicates the waiting time caused by equipment usage conflicts during the assembly process.

6. The method for analyzing and optimizing the structure layout of prefabricated building construction according to claim 1, characterized in that: The loss evaluation functions of the main support structure, electromechanical structure, and external space structure are established respectively, including: Establish the expected benefit function of the main support structure, electromechanical structure, and external space structure. The expected benefit function is: ,in, Choosing a strategy for architecture n The probability of For architecture m in strategy combination Immediate benefits under Based on the expected profit function and the profit result of the assembly strategy, the loss value is fitted to construct the loss evaluation function. ,in, is the loss evaluation function of architecture m, which is reflected in the strategy loss of profits, The expected return function represents the architecture m in the strategy combination The theoretical profit function under is the current global optimization strategy combination for architecture m The actual income.

7. The method for analyzing and optimizing the structure layout of prefabricated building construction according to claim 6, characterized in that: According to the global optimization strategy, the loss evaluation function is used to evaluate the strategies of each architecture category, and based on the evaluation results, the local equilibrium point between the architecture categories is searched to optimize the layout of the global optimization strategy, and the layout optimization execution strategy is determined, including: Identify assembly nodes according to the global optimization strategy, and extract assembly sequence strategies for each architecture type, including assembly sequence nodes and their timing relationships in the global optimization strategy; Performing an evaluation of the assembly order strategy of the corresponding type through the loss evaluation function of each architecture type to obtain the evaluation result; A loss balance calculation is performed according to the evaluation results of each architecture type to determine a local balance point, and the global optimization strategy is optimized for layout using the local balance point to obtain the layout optimization execution strategy.

8. A device for analyzing and optimizing the structure layout of prefabricated building construction, characterized in that: The device is used to implement the architecture layout analysis and optimization method for prefabricated building construction according to any one of claims 1 to 7, comprising: Architecture layout classification module: obtains the design drawings of the prefabricated building construction, classifies the architecture layout according to the design drawings, and determines the architecture category distribution, where the architecture categories include the main support architecture, electromechanical architecture, and external space architecture; Impact analysis module: according to the architecture category distribution, perform assembly time-space constraint impact analysis on each architecture category to obtain assembly constraint conditions, where the assembly constraint conditions are assembly sequence constraint information of different architecture categories or different distributions in the same architecture category; Global search optimization module: connected to the global optimization model, based on the assembly constraints, with the goals of structural stability, maximizing assembly efficiency and minimizing assembly conflicts, to perform assembly global search optimization and obtain a global optimization strategy, wherein the global optimization strategy is a strategy with the best target evaluation value of the assembly sequence of the architecture layout; A loss evaluation function establishment module: establishing loss evaluation functions of the main support structure, electromechanical structure, and external space structure respectively; Layout optimization module: According to the global optimization strategy, the loss evaluation function is used to evaluate the strategies of each architecture category, and based on the evaluation results, the local equilibrium points between the architecture categories are searched to optimize the layout of the global optimization strategy, and the layout optimization execution strategy is determined. The layout optimization execution strategy is an execution plan for assembly construction after local optimization adjustment of the global optimization strategy.

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