Fabricated building component layout method and system

Abstract

The invention relates to the technical field of assembly type building component layout, in particular to an assembly type building component layout method and system. The method comprises the following steps: obtaining prefabricated building design data; building component layout and installation difficulty analysis is carried out according to the prefabricated building design data, and building component layout and installation difficulty data are obtained; identifying the abnormal deviation degree of the building component nodes according to the building component layout installation difficulty data; determining a building component installation error accumulation trend based on the abnormal deviation degree of the building component nodes; building component installation geometric coordination damage analysis is carried out according to the building component installation error accumulation trend, and the component installation geometric coordination damage condition is obtained; determining a sudden stress transmission increase condition of the building structure according to the geometric coordination damage condition of component installation; by optimizing the layout of the fabricated building components, the layout of the building components is more accurate.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of prefabricated building component layout, and particularly relates to a prefabricated building component layout method and system. BACKGROUND

[0002] Due to the characteristics of industrialized production, component standardization prefabrication and on-site rapid installation, prefabricated buildings gradually become an important way of modern building construction. In the prefabricated building construction process, the spatial layout of components, the connection precision of nodes and the installation sequence directly affect the overall stability and construction efficiency of the structure. In the prior art, the layout of building components depends on design drawings and construction experience, and lacks analysis of the installation difficulty of component layout, node abnormal deviation and error accumulation trend, resulting in problems such as component misplacement, installation inclination, uneven gaps and local stress concentration in actual construction. These problems not only increase the workload of construction adjustment, but also cause damage to the geometric coordination of the structure, causing the stress transfer of the structure to increase suddenly, thereby increasing the overall instability risk. It is urgent to provide a prefabricated building component layout method based on prefabricated building design data, combined with the geometric structure of components and the connection relationship of nodes, to analyze the installation difficulty of component layout, node deviation and error accumulation trend, so as to realize the accurate arrangement of building components in the construction process. SUMMARY

[0003] Therefore, it is necessary to provide a prefabricated building component layout method and system to solve at least one of the above technical problems.

[0004] To achieve the above-mentioned purpose, a prefabricated building component layout method comprises the following steps: Step S1: obtaining prefabricated building design data; analyzing the installation difficulty of building component layout according to the prefabricated building design data to obtain building component layout installation difficulty data; Step S2: identifying the abnormal deviation degree of building component nodes according to the building component layout installation difficulty data; determining the installation error accumulation trend of building components based on the abnormal deviation degree of building component nodes; Step S3: analyzing the geometric coordination damage of component installation according to the installation error accumulation trend of building components to obtain the geometric coordination damage of component installation; determining the sudden increase of building structure stress transfer according to the geometric coordination damage of component installation; Step S4: evaluating the increase of overall instability risk of building according to the sudden increase of building structure stress transfer; optimizing the prefabricated building component layout by using the overall instability risk of building to optimize the prefabricated building design data to obtain prefabricated building component layout optimization data.

[0005] The present application also provides a prefabricated building component layout system for executing the prefabricated building component layout method as described above, and a prefabricated building component layout system comprises: The layout and installation difficulty analysis module is used to acquire prefabricated building design data; based on the prefabricated building design data, it performs a layout and installation difficulty analysis of building components to obtain layout and installation difficulty data of building components. The cumulative installation error determination module is used to identify the degree of abnormal deviation of building component nodes based on the difficulty data of building component layout and installation; and to determine the cumulative trend of building component installation error based on the degree of abnormal deviation of building component nodes. The module for determining sudden increases in force transmission is used to perform geometric compatibility failure analysis on the installation of building components based on the cumulative trend of installation errors, and to obtain the failure status of the geometric compatibility of the components; based on the failure status of the geometric compatibility of the components, it determines the sudden increase in force transmission in the building structure. The component layout optimization module is used to assess the increased risk of overall building instability based on the sudden increase in the stress transmission of the building structure; and to optimize the layout of prefabricated building components using the increased risk of overall building instability, thereby obtaining optimized layout data for prefabricated building components.

[0006] The beneficial effects of this invention lie in its ability to comprehensively analyze the difficulty of component layout and installation by acquiring prefabricated building design data and combining it with the geometric structure and connection relationships of building components. This allows for the accurate identification of abnormal deviations at building component nodes, the determination of cumulative installation error trends, and effective assessment of geometrical inconsistencies and sudden increases in structural stress transmission that occur during component installation. This, in turn, provides a quantitative assessment of the increased risk of overall building instability. Through this method, problems such as installation deviations, node misalignments, concentrated tilting, and uneven gaps in component layout can be identified in advance during the design phase. This generates detailed component layout defect data, providing a basis for subsequent layout optimization and achieving a more coordinated state in terms of spatial distribution and stress transmission. By incorporating information such as installation errors, node deviations, and geometric locking phenomena of each component into a comprehensive analysis, this method not only reflects the stress changes and residual stress release difficulties of local components but also reveals the potential instability risks of the overall structure, achieving closed-loop management from local component optimization to overall layout improvement. Meanwhile, this method can provide clear optimization guidance for the construction phase, including operations such as component position adjustment, node reconnection, and gap correction, to ensure that prefabricated building components maintain design accuracy and structural stability during actual installation, thereby improving the controllability and safety of building construction. Attached Figure Description

[0007] Figure 1 This is a flowchart illustrating the steps of a prefabricated building component layout method. Figure 2 for Figure 1 A detailed flowchart illustrating the implementation steps of step S2. Figure 3 for Figure 1 A detailed flowchart illustrating the implementation steps of step S3. The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0008] The technical method of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0009] Furthermore, the accompanying drawings are merely illustrative of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0010] It should be understood that although the terms "first," "second," etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are used merely to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0011] To achieve the above objectives, please refer to Figures 1 to 3 A method for arranging prefabricated building components includes the following steps: Step S1: Obtain prefabricated building design data; Analyze the difficulty of building component layout and installation based on the prefabricated building design data to obtain building component layout and installation difficulty data; In this embodiment of the invention, complete prefabricated building design data is obtained. This data includes overall building design drawings, component layout coordinate files, component geometric dimension tables, and detailed node connection drawings. Based on the design drawings, CAD drawing tools are used to digitally analyze the building's floor plan and elevation layout, extracting the positioning point coordinates and boundary dimensions of each prefabricated component. Subsequently, based on the extracted geometric dimension tables and node details, the spatial proportion relationship of the building components is constructed to identify the mutual interference of each component during installation. On this basis, finite element geometric preprocessing tools are used to perform installation path collision detection on the components, identifying the constraints of hoisting angles, horizontal movement distances, and vertical lifting space required during installation. These constraints are then superimposed and compared with the design layout requirements to form the constraint data of the installation process. By coupling the constraint data with the component's self-weight and hoisting process parameters (such as lifting points and angle constraint moments), the difficulty data of the building component layout installation is obtained.

[0012] Step S2: Identify the degree of abnormal deviation of building component nodes based on the difficulty data of building component layout and installation; determine the cumulative trend of building component installation error based on the degree of abnormal deviation of building component nodes; In this embodiment of the invention, based on the building component layout and installation difficulty data obtained in step S1, abnormal deviations are identified for each installation node, and the difference between the positioning coordinates and the design reference coordinates of each node is calculated to obtain the initial error factor of the node. The calculation formula is as follows:

[0013] in, Indicates the first Spatial deviation of each node; , , ( ) represents the spatial coordinates of the nodes during actual component installation; , , () serves as the design reference coordinate. This is achieved by considering the coordinates of all nodes. Calculations are performed to obtain node deviation distribution data. Then, based on a comparison of this data with installation difficulty data, nodes with deviations exceeding limits are screened, generating a level of abnormal node deviation. Further, cumulative error analysis is conducted on the deviation levels of abnormal nodes, calculating the superposition trend of deviations in horizontal, vertical, and spatial angles, thereby obtaining the cumulative trend of building component installation errors. This trend data directly reflects the cumulative effect of component arrangement errors increasing with the installation sequence.

[0014] Step S3: Based on the cumulative trend of building component installation errors, perform a geometrical compatibility failure analysis of the building component installation to obtain the geometrical compatibility failure status of the component installation; determine the sudden increase in stress transmission of the building structure based on the geometrical compatibility failure status of the component installation. In this embodiment of the invention, based on the obtained cumulative trend of installation errors of building components, a failure analysis of the geometric compatibility of the building components is performed. An installation sequence time axis is established, and the cumulative deviation in each step of the installation process is mapped to the geometric baseline to generate a component baseline deviation curve. This curve is used to characterize the deviation of the component from the overall geometric constraints. Subsequently, the displacement vectors of each node during the component installation process are progressively superimposed to identify whether there is an overall tilting or rotation effect. Combined with the connection sequence of the installation nodes, the failure of the geometric closure condition caused by error accumulation is detected. Using a three-dimensional geometric compatibility retrieval tool, the non-closed assembly gaps and angular distortion caused by deviations are calculated to obtain the failure status of the component installation geometric compatibility. Based on the failure status, the mechanical transmission path at mismatched gaps and discontinuous connections is modeled to determine whether there is instantaneous stress concentration during the force transmission process, thus identifying the sudden increase in the force transmission of the building structure.

[0015] Step S4: Assess the increased risk of overall building instability based on the sudden increase in stress transmission in the building structure; optimize the layout of prefabricated building components using the increased risk of overall building instability, and obtain optimized layout data for prefabricated building components.

[0016] In this embodiment of the invention, based on the sudden increase in stress transmission in the building structure obtained in step S3, the overall instability risk is assessed. The stress values ​​in the areas of sudden stress transmission are extracted and compared with the stress values ​​along the normal transmission path to form stress multiplication factor data. Next, the stress multiplication factor is compared one by one with the component design strength and the bearing capacity of the node connections, marking dangerous areas exceeding the allowable bearing range to form a local risk distribution map. Then, based on the risk distribution map, a hierarchical instability risk assessment method is used to gradually deduce the instability path from local failure to the overall structure, obtaining the overall increase in instability risk. Finally, the instability risk data is fed back to the prefabricated building design data, and the component layout sequence and node connection relationships are readjusted to generate optimized prefabricated building component layout data. This optimized data can provide accurate reference values ​​for subsequent construction layout, ensuring a reasonable component arrangement can be completed under conditions of accumulated errors and sudden increases in stress transmission.

[0017] Preferably, step S1 includes the following steps: Step S11: Obtain prefabricated building design data; In this embodiment of the invention, the operation of acquiring prefabricated building design data includes: extracting all original parameters related to component layout from engineering design drawings, structural design specifications, and component list files. Specifically, this includes the overall building plan layout dimensions, floor height data, component cross-sectional dimensions, design elevation data, axis control point data, reserved hole location data, and component installation baseline data. During implementation, design data is directly obtained from drawing files and engineering design parameter documents, with all parameters expressed in millimeter or millimeter-level values. For example, the standard floor design height of a frame structure is 3300mm, the column cross-section is 600mm×600mm, the beam cross-section is 300mm×600mm, and the slab thickness is 120mm; all these values ​​serve as input data for subsequent analysis. This step ensures that the acquired design data covers all dimensions of geometric scale, positional relationships, and connection node positioning, thus providing complete input for subsequent data processing.

[0018] Step S12: Collect geometric structural data of building components based on prefabricated building design data; In this embodiment of the invention, the operation of collecting geometric structural data of building components based on prefabricated building design data includes: extracting the external dimensions, boundary control lines, installation positioning points, and weight information of each component in the design drawings and engineering parameter files. Specifically, the geometric structural data includes the length, width, and height of beams, slabs, and columns; the thickness, edge groove depth, and tenon width of prefabricated wall panels; and the diameter and position of each connecting hole. For example, in a column component, the geometric data includes a column height of 3000mm, a cross-sectional side length of 500mm, a bottom rebar reserve length of 500mm, and a rebar hole diameter of 30mm. During the collection process, the geometric data must be completely matched with the building design data, that is, the boundary points of each component are marked with coordinate values, and the error range is strictly controlled within 1mm. Through this collection method, the geometric structural data can provide accurate spatial parameter input for subsequent connection relationship analysis.

[0019] Step S13: Determine the connection relationship of building components based on the geometric structure data of building components and the design data of prefabricated buildings; In this embodiment of the invention, the operation of determining the connection relationship of building components based on the geometric structure data of building components and the design data of prefabricated buildings includes: matching the boundary coordinates of the geometric structure data with the reference axis and node positioning points in the design data to identify the contact surfaces and connection points between each component. For example, when the end coordinates of a beam coincide with the side coordinates of a column and are within the same floor elevation range, an end connection relationship is determined to exist between the beam and the column. Similarly, if the edge tenon groove of a precast slab matches the geometric data of the tenon of an adjacent slab, an edge splice connection relationship is determined to exist. Connection relationships include not only directly contacting components but also relationships indirectly formed through node components, such as the butt joint relationship between beams through node steel sleeves. During the operation, each type of connection is confirmed using both geometric coincidence determination and structural condition constraint determination to avoid overlooking non-intuitive connection methods. Thus, the output connection relationship data includes the location of connection nodes, component connection pairs, connection types (mortise and tenon, bolt, welding, sleeve grouting, etc.), and the relative spatial angles between components, forming a complete connection relationship matrix.

[0020] Step S14: Analyze the difficulty of the layout and installation of building components based on the connection relationship and geometric data of the building components, and obtain the difficulty data of the layout and installation of building components.

[0021] In this embodiment of the invention, the operation of analyzing the layout and installation difficulty of building components based on the connection relationships and geometric structure data of the building components to obtain the layout and installation difficulty data of the building components includes: calculating the installation difficulty index of a single component based on the geometric volume and weight of the component; and then calculating the local installation complexity based on the installation height, operability of the connection surface, and number of nodes involved in the connection relationship. The formula for calculating the installation difficulty index can be expressed as:

[0022] in, Indicates the difficulty index of component layout and installation; Indicates the weight of the component, in kilograms; This indicates the installation elevation, in meters. Indicates the number of connection nodes between this component and other components; , , The weighting coefficients are 0.4, 0.35, and 0.25, respectively, based on construction experience and mechanical analysis results. Through calculation using the formula, a quantified installation difficulty value is obtained for each component. For example, a beam weighing 1500kg, installed at a height of 12m, and with 4 nodes has a difficulty index of D = 0.4 × 1500 + 0.35 × 12 + 0.25 × 4 = 602.3. The difficulty indices of all components are summarized to form a dataset of the installation difficulty of building component layout. This dataset reflects the relative difficulty level of each component during the installation process of the entire prefabricated building and provides basic data support for subsequent installation error trend analysis.

[0023] Preferably, step S14 includes the following steps: Step S141: Construct the structural topology based on the connection relationship of building components to obtain the connection topology diagram of building components; In this embodiment of the invention, the operation of constructing a structural topology based on the connection relationships of building components to obtain a connection topology diagram of building components includes: using the connection relationship matrix obtained in the previous steps as input, where the rows and columns of the matrix represent different components, and the element values ​​in the matrix indicate whether there is a connection relationship between components. Specifically, each component is treated as a node in the topology diagram, and the connection relationships between components are used as edges for connection. For example, if there is a bolt connection between the beam end and the column side, a directed edge is drawn between the beam node and the column node in the topology diagram; if floor slabs are connected by mortise and tenon joints, an undirected edge is drawn. During the topology construction process, all nodes are required to be labeled with specific numbers, and the connection type is indicated on the edges, such as bolt connection, sleeve grouting, or mortise and tenon joint. The resulting topology diagram includes not only the local component relationships of a single floor but also the cross-floor connection relationships between multiple floors, ensuring that the topology structure completely covers the connection system of the entire prefabricated building, thereby providing an accurate input basis for subsequent proportion division and spatial constraint calculation.

[0024] Step S142: Divide the building component proportions into the building component connection topology diagram based on the building component geometric structure data to obtain building component proportion data; In this embodiment of the invention, the operation of dividing the building component connection topology diagram according to the geometric structure data of building components to obtain the building component proportion data includes: introducing component geometric parameters, such as length, cross-sectional dimensions, weight, and installation height, into the nodes of the topology diagram, and classifying and statistically analyzing them according to different component types. Specifically, columns, beams, slabs, and walls are each classified as four categories, and the quantity and volume proportions of each type of node in the topology diagram are statistically analyzed. For example, if a structure has a total of 100 components, including 20 column components, 30 beam components, 40 slab components, and 10 wall components, then the quantity proportions are 20%, 30%, 40%, and 10%, respectively. If further combined with geometric volume calculation, the ratio of the total volume of each type of component to the total volume of all components is the volume proportion. During the operation, it is ensured that all data comes from the actual size values ​​in the geometric structure data to avoid bias caused by relying solely on the quantity distribution. The obtained building component proportion data includes two dimensions: quantity proportion and volume proportion, which serve as important reference parameters for subsequent spatial constraint calculations.

[0025] Step S143: Calculate the spatial distribution constraints of the components based on the proportion data and geometric structure data of the building components to obtain the spatial constraint condition data of the components; In this embodiment of the invention, the operation of calculating the spatial distribution constraints of building components based on the proportion data and geometric structure data of the building components to obtain the spatial constraint condition data includes: determining the reference control axes of the building plan and elevation, and mapping the quantity proportion and geometric size distribution of various components to a spatial coordinate system. Secondly, the spatial density constraints of local areas are determined by the location of the connection nodes between components. For example, when beam-type components account for as much as 40% on a certain floor and are all distributed within an area with a span of 8 meters, the spatial distribution constraint value of that area increases significantly. The formula for calculating the spatial distribution constraint value is:

[0026] in, This represents the spatial constraint value, in units of ; Indicates the first The volume of each component, in units of ; This represents the horizontal projected area of ​​the region, in units of... ; This indicates the floor height of the area, in meters (m). This calculation allows us to determine the degree of space filling in different areas. For example, the volume of beam members within a certain area. The projected area is If the floor height is 3m, then the constraint value is 12 / (24×3)=0.16712. This data forms the spatial constraint conditions for the components, which will be used for subsequent installation limitation assessment.

[0027] Step S144: Based on the spatial constraint data of the components, conduct an assessment of the installation limitations of the building components to obtain the installation limitation data of the building components; In this embodiment of the invention, the operation of evaluating the installation limitations of building components based on component spatial constraint data includes: comparing and analyzing each calculated spatial constraint value with the required space margin for construction and installation. If the spatial constraint value of a certain area exceeds the threshold of 0.15, it is determined that the area has high installation limitations. During the evaluation process, the installation limitation data includes three specific restrictions: limited installation path, insufficient extension space for hoisting equipment, and insufficient operating space. For example, in an area with a spatial constraint value of 0.2, if the lifting radius of the hoisting beam is less than the required 5 meters, it is recorded as a case of limited hoisting path. Similarly, when the joint of a plate component is only 50mm away from the adjacent component, it is recorded as a case of limited operation. Through area-by-area analysis, the output data corresponds to the installation limitation level for each area, divided into three levels: low, medium, and high, ensuring that the limitation data accurately reflects the actual installation conditions.

[0028] Step S145: Analyze the difficulty of building component layout and installation based on the data on the limitations of building component installation and the data on the spatial constraints of the components, and obtain the data on the difficulty of building component layout and installation.

[0029] In this embodiment of the invention, the operation of analyzing the difficulty of building component layout and installation based on building component installation limitation data and component spatial constraint data to obtain building component layout and installation difficulty data includes: weighting the installation limitation level and spatial constraint value to form a comprehensive difficulty index. The formula for calculating the comprehensive difficulty index is:

[0030] in, Indicates the difficulty index of layout and installation; Indicates the spatial constraint value; The numerical parameter indicates the level of installation limitation (low is 1, medium is 2, and high is 3). , The weighting coefficients are 0.6 and 0.4 respectively. Taking a certain area as an example, if the spatial constraint value is 0.18 and the limitation level is medium, then the difficulty index is D = 0.6 × 0.18 + 0.4 × 2 = 0.6 × 0.18 + 0.8 = 0.908. After calculating the difficulty index for all areas, a dataset of building component layout and installation difficulty is formed. The dataset includes the difficulty value corresponding to each area and each component, serving as an important input for judging the overall installation complexity and subsequent error trend analysis.

[0031] Preferably, step S2 includes the following steps: Step S21: Identify abnormal deviations of building component nodes based on the difficulty data of building component layout and installation, and obtain the degree of abnormal deviation of building component nodes; In this embodiment of the invention, after obtaining the layout and installation difficulty data of prefabricated building components, a high-precision 3D laser scanner is used to perform point cloud scanning on the node positions of the building components to obtain node spatial coordinate data. The scanned coordinate data is compared with the standard coordinates marked in the design data, and the coordinate difference of each node is calculated. Let the design coordinates of the node be ( , , The actual scan coordinates are ( , , ), then the node deviation value Calculate using the following formula: ; in, This represents the spatial offset of a single node. , , These are the measured coordinates. , , To design coordinates, allocate all nodes... The data is summarized to generate a node deviation statistics table. Based on the maximum deviation value, root mean square deviation value, and deviation distribution in the statistics table, nodes that exceed the design tolerance range are identified, and the deviation of these nodes is defined as the degree of abnormal deviation. The obtained abnormal deviation degree data is recorded in the database with node number and corresponding deviation value, providing input for subsequent steps.

[0032] Step S22: Estimate the sudden increase in the deformation of building components based on the degree of abnormal deviation of building component nodes, and obtain the sudden increase status of building component deformation; In this embodiment of the invention, the degree of abnormal deviation of the building component nodes obtained in step S21 is used to estimate the sudden increase in the deformation of the building components. Strain gauges are selected at nodes with large deviations to collect strain values ​​of the components near the nodes. The relationship between the offset and the linear approximation formula can be expressed as follows:

[0033] in, Represents the deformation of a component. Indicates the design length of the component. This represents the measured strain value. It is obtained through calculation. A deformation distribution table can be created locally at each node. For multiple connected members, the deformation distribution table for each member can be... Data is aggregated and calculated through overlay to determine the sudden increase in deformation of local components. When the deformation of a component exceeds the design allowable deformation value within a short period of time, a sudden increase in deformation is determined to have occurred in that area. This data is recorded in the format of "component number - deformation value - time point" to provide input for the analysis of installation gap expansion.

[0034] Step S23: Estimate the uneven expansion of installation gaps in building components based on the sudden increase in deformation of the building components; In this embodiment of the invention, based on the sudden increase in the deformation of the building components obtained in step S22, the uneven expansion of the installation gaps in the components is estimated. A feeler gauge and a displacement sensor are used to measure the gap width at each component installation gap to obtain actual gap data at different measuring points. Assuming the design width of a certain installation gap is... The actual measured width is The amount of gap expansion Defined as:

[0035] in, This is the amount of gap expansion. For design values, These are the measured values. All measuring points... Data comparisons were performed, and significant differences were identified between different measuring points within the same connection area, indicating uneven gap expansion. Subsequently, a gap expansion distribution map was created, based on the spatial distribution of areas with a sudden increase in component deformation, demonstrating the degree of non-uniformity in gap expansion. This distribution map visually reflects which areas have severe gap expansion problems, and the results are output in the form of data tables and two-dimensional graphs, providing data support for error accumulation trend analysis.

[0036] Step S24: Determine the cumulative trend of installation error of building components based on the uneven expansion of installation gaps.

[0037] In this embodiment of the invention, based on the uneven expansion of installation gaps in step S23, the cumulative trend of installation errors in building components is determined. Multiple nodes on the same vertical axis are selected, and the gap expansion amount at each node on that axis is statistically analyzed. These expansion amounts are then arranged in order of node height to form a gap expansion sequence. A linear regression method is used to fit the gap expansion sequence to obtain the trend equation:

[0038] in, Indicates height as The amount of gap expansion at the node, The trend slope This is the initial deviation value. If the trend slope... This indicates that the error accumulates and amplifies with increasing height. Residual analysis is performed between the fitted equation and actual measurement data to ensure that the trend equation effectively reflects the error accumulation. The generated cumulative trend data of building component installation errors is saved as curve equations and residual statistics, providing a basis for subsequent geometric compatibility failure analysis.

[0039] Preferably, step S21 includes the following steps: Step S211: Extract the initial error factor of each node based on the layout difficulty data of building components to obtain the initial error factor data of the nodes; In this embodiment of the invention, when extracting initial error factors for each node based on the difficulty data of building component layout, the prefabricated building component layout information table generated during the construction phase is invoked. This information table includes the component number, component size parameters, component weight, and component hoisting path length of each node. The spatial coordinates of the nodes at the construction site are measured using a total station, and these coordinates are compared item by item with the theoretical coordinates in the design drawings to extract the horizontal offset, vertical offset, and node rotation angle difference for each node. To avoid data omissions, measurements are collected from at least three different directions for each node, and a stable dataset is obtained through a weighted average method. Combining the component weight and hoisting path length, the external construction error factors experienced by the node during construction are further extracted, such as the deviation caused by swaying during hoisting. The aforementioned spatial coordinate differences and construction error factors are combined to form the node's initial error factor data. A database containing error factor values ​​is established using the node number as an index for subsequent installation deviation calculations.

[0040] Step S212: Calculate the building component installation deviation based on the initial error factor data of the nodes to obtain the building component installation deviation data; In this embodiment of the invention, when calculating the installation deviation of building components based on the initial error factor data of nodes, the initial error factor values ​​of each node in the X, Y, and Z directions are selected and weighted according to the installation method of the component to which the node belongs. For example, for nodes connected by precast sleeve grouting, the vertical deviation factor weight is set higher; while for nodes with welded steel component connections, the horizontal deviation factor weight is dominant. Electronic calculation is used to weight and summarize the deviation factor data to obtain the comprehensive installation deviation value for each node. To ensure the accuracy of the calculation results, the calculation result for each node is compared with the measured value verified at the construction site. If the deviation exceeds the specified allowable range, data collection and calculation are performed again. The calculated building component installation deviation data is stored in the database in the form of a comprehensive deviation value corresponding to the node number. This data provides the basic input for subsequent misalignment connection analysis.

[0041] Step S213: Analyze the misaligned connection of building components based on the installation deviation data of building components to obtain the misaligned connection data of building components; In this embodiment of the invention, when analyzing misaligned connections of building components based on installation deviation data, the deviation values ​​of each node in the database are compared one by one with the node deviations of connected components according to the component connection relationships in the building design. For a connection node between two components, if the difference in their comprehensive deviations is greater than the design tolerance value, it is considered that there is a risk of misalignment connection. To ensure the reliability of the analysis results, all component connection parts with deviations are inspected on-site. The actual joint width and overlap of the connection position are measured using a laser rangefinder and feeler gauge, and the measured values ​​are compared with the theoretical design values ​​one by one. If the joint width is uneven or the overlap is insufficient, it is recorded as a misalignment connection phenomenon. The generated misalignment connection data of building components includes the misalignment node number, misalignment deviation value, misalignment direction, and the corresponding connecting component number. This dataset serves as the direct basis for subsequent identification of abnormal node deviations.

[0042] Step S214: Identify abnormal deviations of building component nodes based on the misalignment connection data of building components, and obtain the degree of abnormal deviation of building component nodes.

[0043] In this embodiment of the invention, when identifying abnormal deviations at building component nodes based on misaligned connection data, the misaligned connection data is classified. All misalignment deviation values ​​are categorized into horizontal and vertical deviations according to direction, and the average and maximum values ​​for each type of deviation are calculated. If the deviation value of a node is at the highest level among its category and exceeds the allowable error range specified in the design, the node is determined to be an abnormal deviation node. During this process, abnormal deviation nodes are marked in conjunction with the overall layout of the building components so that they can be analyzed in detail during subsequent estimations of sudden increases in deformation. After identification, the generated abnormal deviation degree data for building component nodes includes node number, deviation category, deviation value, and abnormality level, and is stored in the construction management database for use in subsequent steps.

[0044] Preferably, step S22 includes the following steps: Step S221: Determine the heterogeneous settlement status of building components based on the degree of abnormal deviation of building component nodes; In this embodiment of the invention, when determining the heterogeneous settlement status of building components based on the degree of abnormal deviation of building component nodes, the abnormal deviation data of building component nodes output in step S214 is called. This data includes the horizontal and vertical deviation values ​​of each node. To determine the settlement difference, the vertical deviations of multiple nodes on the same floor or the same load-bearing component are compared point by point, and the maximum settlement difference is calculated. When the maximum settlement difference exceeds the allowable settlement difference preset in the design specifications, it is determined that there is heterogeneous settlement in the area. In the field inspection, a high-precision level is set up at each key node, and the stable benchmark point at the bottom of the building is used as the reference point to obtain the actual elevation value of the node. The difference is calculated with the design elevation to obtain the vertical settlement amount. Combined with the deviation degree level, the node settlement is divided into three levels: mild, moderate, and severe, and the results are recorded as heterogeneous settlement status data of building components for subsequent stress path detection.

[0045] Step S222: Detect the change in the force path of the building components based on the heterogeneous settlement of the building components, and obtain the data on the change in the force path of the building components; In this embodiment of the invention, when detecting changes in the force path of building components based on uneven settlement, a set of nodes in the heterogeneous settlement region is selected, and the relative displacement between adjacent nodes is calculated based on the vertical settlement difference between the nodes. If the relative displacement between adjacent nodes is greater than the allowable deformation of the joint specified in the design, it indicates that the original force transmission path of the component in that region has changed. In on-site testing, strain gauges are placed at the upper and lower ends of the main load-bearing components to obtain real-time strain values, and these values ​​are compared and analyzed with the theoretical force path set in the construction drawings. If the strain values ​​displayed by the strain gauges are concentrated in non-designed load-bearing areas, while the strain in the designed main load-bearing areas decreases, it is considered that the force path has changed. The output data on changes in the force path of building components includes node number, offset direction, force redistribution area, and offset value.

[0046] Step S223: Determine the local stress increase of the building components based on the data on changes in the force path of the building components; In this embodiment of the invention, when determining the local stress increase of a building component based on the data on changes in the force path of the building component, the offset region and node number are extracted from the force path change data, and the measured strain value of the load-bearing component within that region is selected. Using the strain value measured by a strain gauge and combined with the elastic modulus of the component material, stress calculation is performed on each component to obtain the local stress value. If this stress value exceeds the upper limit of the normal working stress specified in the design document for that component, then the component is determined to be in a state of local stress increase. To ensure data accuracy, the stress values ​​at different detection points of the same component are comprehensively compared. If multiple points show an increase in stress values, it is considered an overall local stress increase. The output data includes the component number, stress increase amount, force direction, and corresponding node number.

[0047] Step S224: Determine the degree of local structural fatigue aggravation based on the increase in local stress in the building components; In this embodiment of the invention, when determining the local structural fatigue aggravation status of a building component based on the increase in local stress, the local stress increase data output in step S223 is called. For each component whose local stress value exceeds the upper limit, its duration of action and number of loading cycles are recorded and compared with the fatigue life curve of the component material. If the number of local stress cycles approaches or exceeds the critical number in the material fatigue life curve, fatigue aggravation is determined to have occurred at that location. During the detection process, crack gauges and vibration sensors are deployed at key locations of the component to continuously collect data on crack propagation rate and local vibration amplitude. If the crack propagation rate shows an accelerating trend, or the local vibration amplitude is higher than the normal range of the design standard, the local structural fatigue aggravation of the component is further confirmed. The output fatigue aggravation status data includes component number, fatigue level, crack propagation rate, and vibration amplitude.

[0048] Step S225: Detect the degree of structural stability degradation of the component based on the local structural fatigue intensification condition; In this embodiment of the invention, when detecting the degree of structural stability degradation of a component based on the local structural fatigue intensification, the fatigue intensification data output in step S224 is extracted, and the fatigue level is analyzed for each component. For components with a large crack propagation rate, an acoustic emission detection device is used to monitor the activity of internal microcracks to obtain internal damage activity data. The crack propagation rate, vibration amplitude, and acoustic emission frequency data are combined and compared with the critical stability index of the component in the design standard to calculate the current degree of stability degradation of the component. If the degree of degradation reaches or exceeds the alarm threshold of the design standard, the component is marked as a high-risk component for degradation. The output data includes the component number, the percentage of stability degradation, and the corresponding fatigue level, which are used in subsequent rapid increase estimation steps.

[0049] Step S226: Based on the data of changes in the force path of building components, estimate the sudden increase in the deformation of building components to determine the degree of structural stability decay, and obtain the sudden increase in the deformation of building components.

[0050] In this embodiment of the invention, when estimating the sudden increase in deformation of building components based on the stress path change data of building components to assess the degree of structural stability decay, the stress path change data in step S222 and the stability decay data in step S225 are combined to focus on analyzing components with stress redistribution and significant stability decay. By comparing the real-time strain increments of the component under different load conditions, if the strain value shows an abnormally large increase when the load increase is not significant, it is identified as a sudden increase in component deformation. During on-site testing, high-precision displacement gauges are deployed at key nodes to record the instantaneous changes in node displacement and compare them with historical displacement curves. If the instantaneous change is more than twice the historical change rate, it is determined to be a sudden increase in deformation. The output data on the sudden increase in building component deformation includes the component number, the sudden increase displacement value, the sudden increase time point, and the corresponding node number, which are used for subsequent estimation of installation gap expansion.

[0051] Preferably, step S24 includes the following steps: Step S241: Measure the degree of deviation of the component reference position based on the uneven expansion of the installation gap to obtain the degree of deviation of the component reference position; In this embodiment of the invention, a high-precision three-dimensional measuring instrument or total station is used to conduct on-site measurements based on the uneven expansion of installation gaps, ensuring that the nodes cover the connection edges and support points of each component. The measured node coordinates are compared point-by-point with the designed node coordinates, and the deviation of the reference position of each component is obtained by calculating the spatial offset of the nodes. The deviation is represented in the form of a three-dimensional vector, where the deviations in the X, Y, and Z directions are recorded separately, and the overall deviation is calculated through vector synthesis. Based on the measured data, a reference position deviation matrix for each component is formed, with the matrix elements corresponding to the offset values ​​of each node, providing basic data for detecting geometric locking phenomena during component installation. This measurement process needs to eliminate measurement errors, and multiple repeated measurements are taken to obtain an average value to ensure that the deviation data accurately reflects the component installation condition.

[0052] Step S242: Detect the geometric locking phenomenon of component installation based on the degree of deviation of the component reference position, and obtain the geometric locking phenomenon of component installation; In this embodiment of the invention, the component reference position deviation matrix obtained in step S241 is used to analyze the component connection relationship and node spatial position. The detection logic is as follows: in the contact area between components, if the deviation of a component node exceeds the installation gap range of the adjacent component, and the resulting contact surface hinders further adjustment of the component, it is judged as a geometric locking phenomenon. By calculating the difference between the minimum spacing between nodes and the design gap value, the deviation direction is analyzed to determine whether it leads to structural interlocking, thus forming a geometric locking determination matrix. This matrix records whether each component node is locked, the locking type (e.g., angular locking, planar locking, or combined locking), and the locking strength. The statistical data of locking phenomena can reveal the obstruction of the overall installation of multiple components, providing a quantitative basis for the analysis of the difficulty of residual stress release.

[0053] Step S243: Determine the increase in difficulty of residual stress release based on the geometric locking phenomenon of component installation; In this embodiment of the invention, the residual stress generated during component installation is analyzed based on the geometric locking determination matrix in step S242. The difficulty of releasing residual stress is positively correlated with the component locking strength and the number of locking nodes. By accumulating the number, distribution location, and locking type of locking nodes, residual stress release difficulty index data is formed. The index calculation formula is as follows:

[0054] in, The total number of locked nodes for the component. For the first The locking strength score of the node (quantified based on the ratio of offset to design gap). For the first The structural importance coefficient of each node is assigned based on its position in the stress path. By calculating the residual stress release difficulty index for each component, a residual stress distribution map of all building components is generated, providing a quantitative basis for the cumulative trend analysis of installation errors.

[0055] Step S244: Determine the cumulative trend of building component installation error based on the increasing difficulty of residual stress release and the geometric locking phenomenon of component installation.

[0056] In this embodiment of the invention, the residual stress release difficulty index of step S243 is combined with the geometric locking phenomenon matrix of step S242 to analyze the cumulative effect of installation errors in building components. By comprehensively weighting the component deviation, locking node distribution, and residual stress index, the cumulative installation error value for each component is obtained. The cumulative installation error trend considers not only the offset of individual components but also the error propagation caused by the locking effect, forming an overall error trend curve. The error trend curve reflects the cumulative deviation of components after multiple installation adjustments, as well as the resulting local structural instability areas. Through curve analysis, the component areas with the fastest error growth and key stress nodes can be identified, providing a data foundation for subsequent analysis of geometric compatibility failure of building components.

[0057] Preferably, step S3 includes the following steps: Step S31: Determine the overall tilt of the component installation based on the cumulative trend of the building component installation error; In this embodiment of the invention, based on the cumulative trend data of building component installation errors obtained in step S24, the offset of each component node is analyzed in three-dimensional space. The offsets of each node are superimposed and categorized by direction to determine the overall displacement direction and magnitude of the component. The positions of key nodes of the component are compared with the design reference node positions, and the offset of each node in the horizontal and vertical directions is recorded. Then, the offsets of all nodes of the same component are summarized, and the overall tilt of the component is analyzed by the average and maximum offset values. The analysis results are described in terms of tilt angle range and tilt direction, and the node areas with the most severe deviations are marked, providing a quantitative data basis for subsequent component installation deviation growth verification.

[0058] Step S32: Inspect the degree of increase in installation deviation of building components based on the overall tilt of the component installation; In this embodiment of the invention, the overall tilt information of the component obtained in step S31 is used to compare the cumulative offset of each node of the component with the initial installation error data to calculate the increase in node deviation. The horizontal and vertical offsets of each node are recorded and classified separately to analyze whether the deviation increase is within an acceptable range. By statistically analyzing the deviation increase of all nodes, an overall deviation growth curve or distribution map of the component is formed, which visually displays the cumulative deviation of the component and marks the location of the component or node with the most severe deviation increase. This data serves as the basis for judging the failure of spatial compatibility between components and provides input parameters for subsequent geometric compatibility failure analysis.

[0059] Step S33: Based on the degree of increase in the installation deviation of building components, conduct a geometrical compatibility failure analysis of the building component installation to obtain the geometrical compatibility failure status of the component installation; In this embodiment of the invention, based on the deviation growth data from step S32, the geometric compatibility of the components is analyzed to determine whether it has been compromised. Specific operations include: checking the spatial fit between adjacent components to confirm whether the increase in component node deviation has led to a reduction in the originally designed reserved gaps or the occurrence of cross-interference; assessing the impact of angular deviations and horizontal offsets of the components on the overall spatial layout; and inspecting the component contact surfaces, connection points, and mounting holes one by one, recording the specific location and extent of geometric compatibility failure. The failure analysis results are output in the form of a list of failure types and affected nodes, clearly indicating the interference points and potential instability areas between components, providing basic data for the stress transfer analysis of the building structure.

[0060] Step S34: Determine the sudden increase in stress transmission in the building structure based on the failure of the geometric compatibility of component installation.

[0061] In this embodiment of the invention, based on the geometric compatibility failure data from step S33, the system analyzes whether there is a sudden increase in structural force transmission. The operational logic includes: mapping the failure point to the force path to identify areas of force transmission change caused by deviations and interference; assessing the stress distribution of components around the failure area to confirm whether the load on local nodes or components exceeds the design load; recording the components and nodes with sudden increases in force transmission, and generating a force transmission change table or diagram to display the force increase and transmission path changes. By visually analyzing the sudden increase in force transmission, potential structural risk areas can be identified, and input data can be provided for overall instability risk assessment.

[0062] Preferably, step S4 includes the following steps: Step S41: Assess the increased risk of overall building instability based on the sudden increase in structural stress. In this embodiment of the invention, based on the data on the sudden increase in stress transmission of the building structure obtained in step S34, the stress situation of each component and node of the structure is analyzed. Components and nodes with sudden increases in stress transmission are classified, and components and nodes with large increases in stress are marked as high-risk areas. The ratio of the stress increment to the design bearing capacity of each component is calculated. Next, the path propagation of the sudden increase in stress in the structure is analyzed, and the connection relationship between local areas of sudden stress increase and adjacent components is combined to assess the resulting local structural instability effects. A summary analysis of the overall building structure is performed, and a data table on the increase in overall building instability risk is formed by combining the number, distribution, and stress amplitude of each high-risk area. This table records in detail the risk level, node location, and stress change trend, providing a quantitative basis for subsequent component layout defect analysis.

[0063] Step S42: Based on the increased risk of overall building instability, conduct a defect assessment of the layout of building components to obtain data on the layout defects of building components; In this embodiment of the invention, the overall instability risk increase data generated in step S41 is used to examine the layout of building components one by one. For each component, its location, stress increase, and connection status in the area of ​​sudden stress increase are recorded; the presence of concentrated deviations, misaligned nodes, or spatial interference issues in the component layout is analyzed. Layout problems of each component are categorized, including misalignment between components, uneven gaps, and concentrated tilt; the potential impact weight of each defect on the overall structural stability is calculated, and a defect matrix is ​​formed. The matrix clearly records the defect type, degree of impact, floor location, and stress node of each component, forming building component layout defect data that can be directly used for layout optimization. This data can provide the adjustment priority and improvement direction for each component, providing detailed basis for subsequent component layout optimization.

[0064] Step S43: Optimize the layout of prefabricated building components using the building component layout defect data to obtain prefabricated building component layout optimization data.

[0065] In this embodiment of the invention, based on the building component layout defect data obtained in step S42, the original prefabricated building design data is optimized. The original design position, connection relationship, and geometric dimensions of the defective components are compared with the actual deviations to determine the extent of modification of the optimization scheme. Then, for components with misaligned nodes, tilting, or uneven gaps, the spatial position is fine-tuned and the connection relationship is redistributed to ensure that the components achieve geometric coordination and stress balance in three-dimensional space. The optimization operation includes component position offset correction, tilt angle adjustment, redistribution of key node gaps, and replanning of stress paths. All optimized component position and connection data form prefabricated building component layout optimization data, clearly recording the installation coordinates, connection method, and node stress of each component for direct reference and implementation in actual construction, while ensuring that the overall structural stability is effectively improved.

[0066] The present invention also provides a prefabricated building component layout system for performing the prefabricated building component layout method described above. The prefabricated building component layout system includes: The layout and installation difficulty analysis module is used to acquire prefabricated building design data; based on the prefabricated building design data, it performs a layout and installation difficulty analysis of building components to obtain layout and installation difficulty data of building components. The cumulative installation error determination module is used to identify the degree of abnormal deviation of building component nodes based on the difficulty data of building component layout and installation; and to determine the cumulative trend of building component installation error based on the degree of abnormal deviation of building component nodes. The module for determining sudden increases in force transmission is used to perform geometric compatibility failure analysis on the installation of building components based on the cumulative trend of installation errors, and to obtain the failure status of the geometric compatibility of the components; based on the failure status of the geometric compatibility of the components, it determines the sudden increase in force transmission in the building structure. The component layout optimization module is used to assess the increased risk of overall building instability based on the sudden increase in the stress transmission of the building structure; and to optimize the layout of prefabricated building components using the increased risk of overall building instability, thereby obtaining optimized layout data for prefabricated building components.

[0067] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A method for arranging prefabricated building components, characterized in that, Includes the following steps: Step S1: Obtain prefabricated building design data; Based on the prefabricated building design data, the difficulty of the layout and installation of building components is analyzed to obtain the data on the difficulty of the layout and installation of building components. Step S2: Identify the degree of abnormal deviation of building component nodes based on the difficulty data of building component layout and installation; Determine the cumulative trend of building component installation errors based on the degree of abnormal deviation of building component nodes; Step S3: Based on the cumulative trend of building component installation errors, conduct a geometric compatibility failure analysis of building component installation to obtain the geometric compatibility failure status of component installation; Determine the sudden increase in stress transmission in the building structure based on the failure of geometric compatibility during component installation; Step S4: Assess the increased risk of overall building instability based on the sudden increase in structural stress. By utilizing the increased risk of overall building instability, the layout of prefabricated building components is optimized based on the design data of prefabricated buildings, resulting in optimized layout data for prefabricated building components.

2. The prefabricated building component layout method according to claim 1, characterized in that, Step S1 includes the following steps: Step S11: Obtain prefabricated building design data; Step S12: Collect geometric structural data of building components based on prefabricated building design data; Step S13: Determine the connection relationship of building components based on the geometric structure data of building components and the design data of prefabricated buildings; Step S14: Analyze the difficulty of the layout and installation of building components based on the connection relationship and geometric data of the building components, and obtain the difficulty data of the layout and installation of building components.

3. The prefabricated building component layout method according to claim 2, characterized in that, Step S14 includes the following steps: Step S141: Construct the structural topology based on the connection relationship of building components to obtain the connection topology diagram of building components; Step S142: Divide the building component proportion data into the building component connection topology diagram based on the building component geometric structure data; Step S143: Calculate the spatial distribution constraints of the components based on the proportion data and geometric structure data of the building components to obtain the spatial constraint condition data of the components; Step S144: Based on the spatial constraint data of the components, conduct an assessment of the installation limitations of the building components to obtain the installation limitation data of the building components; Step S145: Analyze the difficulty of building component layout and installation based on the data on the limitations of building component installation and the data on the spatial constraints of the components, and obtain the data on the difficulty of building component layout and installation.

4. The prefabricated building component layout method according to claim 1, characterized in that, Step S2 includes the following steps: Step S21: Identify abnormal deviations of building component nodes based on the difficulty data of building component layout and installation, and obtain the degree of abnormal deviation of building component nodes; Step S22: Estimate the sudden increase in the deformation of building components based on the degree of abnormal deviation of building component nodes, and obtain the sudden increase status of building component deformation; Step S23: Estimate the uneven expansion of installation gaps in building components based on the sudden increase in deformation of the building components; Step S24: Determine the cumulative trend of installation error of building components based on the uneven expansion of installation gaps.

5. The prefabricated building component layout method according to claim 4, characterized in that, Step S21 includes the following steps: Step S211: Extract the initial error factor of each node based on the layout difficulty data of building components to obtain the initial error factor data of the nodes; Step S212: Calculate the building component installation deviation based on the initial error factor data of the nodes to obtain the building component installation deviation data; Step S213: Analyze the misaligned connection of building components based on the installation deviation data of building components to obtain the misaligned connection data of building components; Step S214: Identify abnormal deviations of building component nodes based on the misalignment connection data of building components, and obtain the degree of abnormal deviation of building component nodes.

6. The prefabricated building component layout method according to claim 4, characterized in that, Step S22 includes the following steps: Step S221: Determine the heterogeneous settlement status of building components based on the degree of abnormal deviation of building component nodes; Step S222: Detect the change in the force path of the building components based on the heterogeneous settlement of the building components, and obtain the data on the change in the force path of the building components; Step S223: Determine the local stress increase of the building components based on the data on changes in the force path of the building components; Step S224: Determine the degree of local structural fatigue aggravation based on the increase in local stress in the building components; Step S225: Detect the degree of structural stability degradation of the component based on the local structural fatigue intensification condition; Step S226: Based on the data of changes in the force path of building components, estimate the sudden increase in the deformation of building components to determine the degree of structural stability decay, and obtain the sudden increase in the deformation of building components.

7. The prefabricated building component layout method according to claim 4, characterized in that, Step S24 includes the following steps: Step S241: Measure the degree of deviation of the component reference position based on the uneven expansion of the installation gap to obtain the degree of deviation of the component reference position; Step S242: Detect the geometric locking phenomenon of component installation based on the degree of deviation of the component reference position, and obtain the geometric locking phenomenon of component installation; Step S243: Determine the increase in difficulty of residual stress release based on the geometric locking phenomenon of component installation; Step S244: Determine the cumulative trend of building component installation error based on the increasing difficulty of residual stress release and the geometric locking phenomenon of component installation.

8. The prefabricated building component layout method according to claim 1, characterized in that, Step S3 includes the following steps: Step S31: Determine the overall tilt of the component installation based on the cumulative trend of the building component installation error; Step S32: Inspect the degree of increase in installation deviation of building components based on the overall tilt of the component installation; Step S33: Based on the degree of increase in the installation deviation of building components, conduct a geometrical compatibility failure analysis of the building component installation to obtain the geometrical compatibility failure status of the component installation; Step S34: Determine the sudden increase in stress transmission in the building structure based on the failure of the geometric compatibility of component installation.

9. The prefabricated building component layout method according to claim 1, characterized in that, Step S4 includes the following steps: Step S41: Assess the increased risk of overall building instability based on the sudden increase in structural stress. Step S42: Based on the increased risk of overall building instability, conduct a defect assessment of the layout of building components to obtain data on the layout defects of building components; Step S43: Optimize the layout of prefabricated building components using the building component layout defect data to obtain prefabricated building component layout optimization data.

10. A prefabricated building component layout system, characterized in that, For performing the prefabricated building component layout method as described in claim 1, a prefabricated building component layout system includes: The layout and installation difficulty analysis module is used to acquire prefabricated building design data; based on the prefabricated building design data, it performs a layout and installation difficulty analysis of building components to obtain layout and installation difficulty data of building components. The cumulative installation error determination module is used to identify the degree of abnormal deviation of building component nodes based on the difficulty data of building component layout and installation; and to determine the cumulative trend of building component installation error based on the degree of abnormal deviation of building component nodes. The module for determining sudden increases in force transmission is used to perform geometric compatibility failure analysis on the installation of building components based on the cumulative trend of installation errors, and to obtain the failure status of the geometric compatibility of the components; based on the failure status of the geometric compatibility of the components, it determines the sudden increase in force transmission in the building structure. The component layout optimization module is used to assess the increased risk of overall building instability based on the sudden increase in the stress transmission of the building structure; and to optimize the layout of prefabricated building components using the increased risk of overall building instability, thereby obtaining optimized layout data for prefabricated building components.

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