Building construction information management system based on BIM

Abstract

The present invention relates to the field of building management technology, specifically to a building construction information management system based on BIM, the system comprising: a building space construction module extracts the spatial position coordinates and adjacent relationship data of building components based on a BIM model, calculates the component connection relationship and spatial distance, and obtains the spatial topological relationship data of the building components. In the present invention, by extracting and analyzing the spatial position and relationship data of building components, the construction space information management is optimized, and the accurate grasp of the complex spatial relationship of building construction is improved. In addition, by dynamically updating the state of construction path nodes and resource weights, the uncertainty factors in the construction process are dealt with, the flexibility and adaptability of construction management are enhanced, and according to real-time monitoring data, the construction path and resource allocation are dynamically adjusted to reduce resource waste and construction period delays. In geometric verification, by comparing the spatial parameters of path nodes with the positions of obstacles, the practicality and safety of construction path design are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of building management, and in particular to a building construction information management system based on BIM. Background Art

[0002] The field of construction management technology mainly involves the management and optimization of the entire process of construction engineering from planning, design, construction to operation and maintenance. This technical field includes resource management, progress management, cost control, quality assurance and information integration, and uses modern tools and technical means to improve the efficiency, transparency and sustainability of the construction industry. With the widespread application of information technology, construction management is gradually developing in the direction of digitalization, intelligence and refinement, providing all participants with an efficient collaboration platform and scientific decision-making support.

[0003] Among them, the BIM-based construction information management system refers to an information management tool or platform for the construction phase based on the building information modeling technology (BIM). Its purpose is to achieve visualization, intelligent and efficient management of the construction process by integrating various project-related data resources, covering schedule planning, resource allocation, cost accounting, quality and safety management, etc., to provide support for the smooth implementation and refined management of construction projects.

[0004] Existing technologies usually lack effective data integration and real-time update capabilities when processing complex building information, which makes it difficult to accurately grasp complex spatial relationships and dynamic changes during construction management. Traditional construction path planning relies on static data and empirical judgment, which is insufficient to cope with the rapid changes in the construction environment, often leading to irrational resource allocation and construction delays. In addition, existing technologies usually lack accurate spatial parameter analysis in the geometric verification of construction paths, making it difficult to ensure the feasibility and safety of the path, which may cause safety issues and execution obstacles in actual construction. These deficiencies limit the efficiency and safety of construction project management and increase costs and risks. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and propose a building construction information management system based on BIM.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: A building construction information management system based on BIM includes: The building space construction module is based on the BIM model, extracts the spatial position coordinates and adjacent relationship data of building components, calculates the component connection relationship and spatial distance, and obtains the spatial topological relationship data of building components; The path generation module screens the path node connection relationship based on the spatial topological relationship data of the building components, calculates the total path weight, screens the path nodes that meet the construction task dependency, generates a preliminary spatial node sequence of the construction path, updates the path connection relationship and parameters, and generates the construction path data; The path optimization module calculates the resource distribution sum and time weight of the path segment based on the construction path data, screens the path segments that meet the resource and time conditions, integrates the optimized path node set, extracts the time cost weight of the path node set segment by segment, determines in turn whether the time cost of the path segment exceeds the set threshold, reconstructs the time and resource consumption weight data of the path segment, and generates optimized construction path data; The dynamic adjustment module extracts real-time monitoring data based on the optimized construction path data, updates the path node status and resource weights, screens the path segments whose resources meet the conditions, updates the node set, and generates dynamically adjusted construction path data; The geometric verification module extracts the spatial parameters of the path nodes, calculates the width and height of the path segments, compares the positions of obstacles, screens the path segments that meet the spatial conditions, and generates the verified construction path data based on the dynamically adjusted construction path data.

[0007] The spatial topological relationship data of the building components include spatial position coordinates, adjacent relationship data, connection relationship, and spatial distance; the construction path data specifically include path node connection relationship, path total weight, preliminary spatial node sequence, and path connection parameters; the optimized construction path data include resource distribution sum, time weight, optimized path node set, and path segment time and resource consumption weight; the dynamically adjusted construction path data include path node status, resource weight, and node set; the verified construction path data specifically include path node spatial parameters, path segment width, path segment height, and obstacle position.

[0008] As a further solution of the present invention, the steps for acquiring the spatial topological relationship data of the building components are specifically as follows: Extract the spatial position coordinates and adjacent relationships of building components from the BIM model, organize the information through data integration algorithms, and obtain a preliminary spatial relationship data set of building components; Using the preliminary spatial relationship data set of the building components, the connection mode and spatial distance between the components are calculated, and the data structure is optimized by using a distance algorithm to obtain a component connection and distance data set; Based on the component connection and distance data set, spatial analysis technology is used, using the formula: ; Calculate the spatial relationship between components and generate spatial topological relationship data of building components ; in, , Respectively represent The difference between the horizontal and vertical coordinates of the components in space is used to calculate the spatial distance between components in two directions. It is The adjustment parameters of the components are used to adjust the weight of the distance calculation between the corresponding components, thereby affecting the measurement accuracy of the overall spatial relationship. Represents the number of component pairs involved in the calculation, which is an integer.

[0009] As a further solution of the present invention, the steps of obtaining the construction path data are specifically as follows: Based on the spatial topological relationship data of the building components, a graph theory algorithm is used to screen the connection relationship of the path nodes to generate node connection relationship data; Using the node connection relationship data, calculating the total weight of multiple connection paths, applying the minimum cost path algorithm to optimize the selected path, and obtaining optimized path weight data; According to the construction task dependency requirements, eligible path nodes are selected from the optimized path weight data to generate a preliminary spatial node sequence; Using the preliminary spatial node sequence, the path connection relationship and parameters are updated using the formula: ; Calculate path parameters and obtain construction path data ; in, Represents the weight value of the connection between each path node, The criticality score of the representative node refers to the strategic position and criticality of the node in the construction. Indicates the total number of nodes, used to calculate the average value.

[0010] As a further solution of the present invention, the step of obtaining the optimized path node set is specifically as follows: Extracting resource distribution and time consumption information of multiple path segments from the construction path data, combining the resource and time information of each segment through a data integration method to form initial path segment resource and time data; Using the initial path segment resource and time data, a comprehensive resource and time evaluation is performed on multiple path segments using the formula: ; Calculate the comprehensive weight of each path segment, filter the path segments that meet the target conditions, and obtain the filtered path data ; in, Representative The resource amount of the path segment, which specifies the amount of resources allocated to the path segment. is the critical weight of the path segment, For the The time consumption of the path segment, Represents the total number of path segments, used to complete the cumulative calculation of all qualified path segments; According to the filtered path data, the node connection relationship of the entire construction path is reconstructed, and the node set is integrated and optimized through an iterative path optimization algorithm to generate a construction path node set.

[0011] As a further solution of the present invention, the step of obtaining the optimized construction path data is specifically as follows: Based on the optimized path node set, extract the time consumption and resource distribution data of the path segment, integrate and classify the extracted data according to the connection relationship of the path segment, and generate the initial time and resource distribution data of the path segment; Based on the initial data of time and resource distribution of the path segment, the comprehensive weight of time consumption and resource distribution of the path segment is calculated using the formula: ; Recalculate each path segment, filter out path segments that meet the time and resource consumption requirements, and generate optimized path segment weight data ; in, Indicates The resource consumption of the path segment, Represents the average resource consumption of all path segments, which is used to measure the deviation of resource consumption. Indicates the standard deviation of resource consumption, used to standardize resource distribution. Indicates The time consumption of the path segment, is the maximum value of the time consumed in the path segment, which is used to adjust the time consumption to a proportion. Indicates the total number of path segments, used to accumulate the weights of all path segments; By using the optimized path segment weight data and combining the connection relationship between the path segments, the time and resource data of the path segments are integrated, the node sequence and weight data of the path segments are reconstructed, and the construction path data is integrated and optimized.

[0012] As a further solution of the present invention, the step of acquiring the dynamically adjusted construction path data is specifically as follows: Based on the optimized construction path data, extract real-time monitoring data, including the current state and resource consumption of each node, to form a real-time data set; Using the real-time data set, the status and resource weight of each path node are updated, and the resource weight update of each node is calculated using the formula: ; Get updated node status and resource weight data ; in, Indicates the current amount of resources of the node. is the resource usage, is the adjustment coefficient, Indicates the total number of nodes; According to the updated node status and resource weight data, the path segments that meet the construction conditions are screened, and the node sets of the path segments are reintegrated to form a reconstructed node status and resource weight data set; From the reconstructed node status and resource weight data set, the connection and resource allocation of the path segments are integrated and adjusted to generate dynamically adjusted construction path data.

[0013] As a further solution of the present invention, the steps for obtaining the verified construction path data are specifically as follows: Extracting spatial parameters of multi-path nodes from the dynamically adjusted construction path data, including width and height information, to form node spatial parameter data; The spatial dimension of the path segment is calculated using the node spatial parameter data, and the width and height of each path segment are measured using the formula: ; Generate path segment spatial dimension data ; in, Indicates the width of the path segment, Indicates the height of the path segment, Represents the length of the path segment, which is used to adjust the contribution of width and height to the spatial size. is the total number of path segments, which is used to cumulatively calculate the spatial dimensions of all path segments; According to the spatial dimension data of the path segment, the obstacle positions are compared, the path segment without obstacles or the obstacles do not affect the construction is screened, the node set of the path segment is updated, and the updated node state and spatial parameters are obtained; The updated node status and space parameters are used to verify and adjust the path to ensure that all path segments meet the construction space conditions and generate verified construction path data.

[0014] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by extracting and analyzing the spatial position and relationship data of building components, the construction space information management is optimized, and the accurate grasp of the complex spatial relationship of building construction is improved. In addition, by dynamically updating the status of construction path nodes and resource weights, the uncertainty factors in the construction process are dealt with, and the flexibility and adaptability of construction management are enhanced. According to real-time monitoring data, the construction path and resource allocation are dynamically adjusted to reduce resource waste and construction delays. In the geometric verification, the practicality and safety of the construction path design are improved by comparing the spatial parameters of the path nodes with the obstacle positions. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a system flow chart of the present invention; Figure 2 A flowchart of the steps for obtaining spatial topological relationship data of building components of the present invention; Figure 3 A flowchart of the steps for obtaining construction path data of the present invention; Figure 4 This is a flow chart of the steps for obtaining the optimized path node set of the present invention; Figure 5 A flow chart of the steps for obtaining construction path data for optimization of the present invention; Figure 6 A flowchart of the steps for obtaining the construction path data after dynamic adjustment of the present invention; Figure 7 This is a flow chart of the steps for obtaining the verified construction path data of the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0017] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0018] Example 1: Please refer to Figure 1 , the BIM-based construction information management system includes: The building space construction module is based on the BIM model, extracts the spatial position coordinates and adjacent relationship data of building components, calculates the component connection relationship and spatial distance, and obtains the spatial topological relationship data of building components; The path generation module is based on the spatial topological relationship data of building components, screens the path node connection relationship, calculates the total path weight, screens the path nodes that meet the construction task dependency, generates the preliminary spatial node sequence of the construction path, updates the path connection relationship and parameters, and generates the construction path data; The path optimization module calculates the total resource distribution and time weight of the path segment based on the construction path data, selects the path segments that meet the resource and time conditions, integrates the optimized path node set, extracts the time cost weight of the path node set segment by segment, determines whether the time cost of the path segment exceeds the set threshold in turn, reconstructs the time and resource consumption weight data of the path segment, and generates optimized construction path data; The dynamic adjustment module extracts real-time monitoring data based on the optimized construction path data, updates the path node status and resource weights, selects the path segments that meet the resource conditions, updates the node set, and generates dynamically adjusted construction path data; Based on the dynamically adjusted construction path data, the geometric verification module extracts the spatial parameters of the path nodes, calculates the width and height of the path segments, compares the positions of obstacles, screens the path segments that meet the spatial conditions, and generates the verified construction path data.

[0019] The spatial topological relationship data of building components include spatial position coordinates, adjacent relationship data, connection relationship, and spatial distance. The construction path data specifically include path node connection relationship, total path weight, preliminary spatial node sequence, and path connection parameters. The optimized construction path data include the sum of resource distribution, time weight, optimized path node set, and time and resource consumption weight of path segments. The dynamically adjusted construction path data include path node status, resource weight, and node set. The verified construction path data specifically include path node spatial parameters, path segment width, path segment height, and obstacle position.

[0020] See also Figure 2 ,The specific steps for obtaining the spatial topological relationship data of building components are: Extract the spatial position coordinates and adjacent relationships of building components from the BIM model, organize the information through data integration algorithms, and obtain a preliminary spatial relationship data set of building components; First, it relies on the geometric and structural data of the model. Then, the spatial coordinates and adjacent relationships between the components are parsed through algorithms, which includes the precise reading of coordinate data and the logical judgment of adjacent relationships. The obtained data will form a structured expression in the memory for further analysis; next, a data integration algorithm is applied to these data. The algorithm takes into account the physical properties and relative positions of the components, and through iterative processing to optimize the accuracy and availability of the data, a preliminary spatial relationship data set of building components is generated. This data set contains detailed information on the spatial positioning and mutual relationships of all relevant components.

[0021] Using the preliminary spatial relationship dataset of building components, the connection mode and spatial distance between components are calculated, and the distance algorithm is used to optimize the data structure to obtain the component connection and distance dataset; A distance algorithm is used to optimize the data structure. This algorithm not only calculates the direct spatial distance, but also takes into account the connection types between components, such as mortise and tenon joints, threads, etc. The algorithm calculates the distance by taking the square root of the coordinate difference of each pair of components to ensure the accuracy of the calculation. Through this calculation, a component connection and distance dataset is obtained. This dataset describes in detail the relative positions between components and the strength and type of the connection, providing the necessary data basis for the next step of spatial analysis.

[0022] Based on the component connection and distance data set, spatial analysis technology is used, using the formula: ; Calculate the spatial relationship between components and generate spatial topological relationship data of building components ; in, , Respectively represent The difference between the horizontal and vertical coordinates of the components in space is used to calculate the spatial distance between components in two directions. It is The adjustment parameters of the components are used to adjust the weight of the distance calculation between the corresponding components, thereby affecting the measurement accuracy of the overall spatial relationship. Represents the number of component pairs involved in the calculation, which is an integer.

[0023] formula: ; The usefulness of the formula is that it takes into account not only the simple spatial distance between components, but also the adjustment parameters , which can be adjusted according to the characteristics of actual building materials or structural strength, so as to more accurately reflect the actual building environment conditions when calculating spatial relationships.

[0024] Detailed explanation of the formula and the process of formula calculation and derivation: Set the coordinate difference between components to Mihe Meter, adjustment parameters , then the internal calculation of the formula is as follows: ; ; The results show that after considering the adjustment parameters, the adjusted distance between the two components is 4.123 meters. This distance data reflects the actual physical distribution and spatial connection characteristics between the components. This result is used to further optimize the component layout and structural design.

[0025] See also Figure 3 , the specific steps for obtaining construction path data are as follows: Based on the spatial topological relationship data of building components, the graph theory algorithm is used to screen the connection relationship of path nodes and generate node connection relationship data; Based on graph theory algorithms, the connection relationship of the selected path nodes reflects the spatial position and adjacent relationship of the building components. The core of this step is to convert the spatial topological relationship into a computational model. The graph theory algorithm accurately describes the spatial relationship of each component through the relationship matrix of nodes and edges. The generation of relationship data includes quantifying the possibility of connection between nodes and the actual physical distance. This data set provides the necessary input parameters for subsequent steps. This data set has a decisive influence on determining the optimal construction path.

[0026] Use the node connection relationship data to calculate the total weight of the multi-connection path, apply the minimum cost path algorithm to optimize the selected path, and obtain the optimized path weight data; The minimum cost path algorithm is applied to process the node connection relationship data. The algorithm takes into account the total weight of each connection path. The optimization algorithm minimizes the construction cost through dynamic programming technology. The optimization result of the weight data is based on the physical length of the component connection and the estimated construction difficulty. This processing method not only improves the efficiency of path selection, but also ensures the economy of the construction process. The generated optimized path weight data provides the construction team with a basis for feasibility analysis and budget preparation.

[0027] According to the construction task dependency requirements, the qualified path nodes are selected from the optimized path weight data to generate a preliminary spatial node sequence; This process involves a detailed analysis of data points. By setting thresholds, it is determined which nodes can be used as the starting point or necessary point for construction. The generated preliminary spatial node sequence takes into account a variety of construction scenarios and environmental factors, such as the physical location of the nodes, access frequency and safety assessment. This sequence provides the basic framework and preprocessing data for the final construction path planning.

[0028] Using the preliminary spatial node sequence, update the path connection relationship and parameters using the formula: ; Calculate path parameters and obtain construction path data ; in, Represents the weight value of the connection between each path node, The criticality score of the representative node refers to the strategic position and criticality of the node in the construction. Indicates the total number of nodes, used to calculate the average value.

[0029] formula: ; The formula is useful because it introduces weights and node importance score , which can comprehensively consider the construction difficulty of the path segment and the strategic position of the node, and more accurately reflect the needs of the actual construction path.

[0030] Detailed explanation of the formula and the process of formula calculation and derivation: set up , then the formula becomes ; The result shows that the average comprehensive weight of each node is 3.162, which indicates the intensity of comprehensive considerations for each node during path selection, thereby optimizing the construction path and reducing possible construction risks.

[0031] See also Figure 4 , the specific steps for obtaining the optimized path node set are: Extract resource distribution and time consumption information of multiple path segments from construction path data, and combine the resource and time information of each segment through data integration method to form initial path segment resource and time data; This process involves complex data processing operations and requires a thorough analysis of the path data, which includes extracting data records from the construction management system and then filtering out relevant information for each path segment through programming methods or data processing software. The integrity and accuracy of the data need to be considered in the specific process to ensure that the extracted data can reflect the actual construction situation. Next, through data integration methods, the resource data and time data of each path segment are combined to form a preliminary data model, which will be used for subsequent resource and time calculation and analysis.

[0032] Using the initial path segment resource and time data, a comprehensive resource and time evaluation is performed on multiple path segments using the formula: ; Calculate the comprehensive weight of each path segment, filter the path segments that meet the target conditions, and obtain the filtered path data ; in, Representative The resource amount of the path segment, which specifies the amount of resources allocated to the path segment. is the critical weight of the path segment, For the The time consumption of the path segment, Represents the total number of path segments, used to complete the cumulative calculation of all qualified path segments; formula: ; The benefit of the formula is that, by combining the resource quantity and importance weight with the square root of time, the relationship between time cost and resource allocation can be considered in a more balanced way, which is especially suitable for the construction stage with abundant resources but tight time.

[0033] Detailed explanation of the formula and the process of formula calculation and derivation: Assume that there is a specific construction project, which is divided into three main path segments, and the resource volume of each path segment is The importance weights are 120, 150, and 180 units respectively. They are 0.8, 0.9, and 0.85 respectively, and the time consumption 36, 49, 64 hours respectively: 1. Calculate the square root of the time consumed for each path segment: , , ; 2. Apply the formula to calculate the weight of each path segment: ; ; ; 3. Add up the total weight ; The result shows that after considering the amount of resources, importance, and time cost, the total weight of the entire construction project is 54.415. This value helps project managers make decisions on resource allocation and time management to optimize the construction process.

[0034] According to the filtered path data, the node connection relationship of the entire construction path is reconstructed, and the node set is integrated and optimized through the iterative path optimization algorithm to generate the construction path node set.

[0035] This process includes inputting the screened data into the path optimization algorithm. The algorithm is based on the existing node and connection data for processing. The optimization algorithm needs to consider multiple factors such as the distance between nodes, resource allocation and time constraints. Through iterative calculation, the best path configuration is found. After optimization, these nodes will form a new node set. These sets will be directly used to guide the specific operations at the construction site, thereby ensuring the efficiency of the construction process and completion on time.

[0036] See also Figure 5 ,The specific steps for obtaining optimized construction path data are as follows: Based on the optimized path node set, the time consumption and resource distribution data of the path segment are extracted, and the extracted data are integrated and classified according to the connection relationship of the path segment to generate the initial data of the time and resource distribution of the path segment; The key in this process is how to accurately pair time data with resource data to ensure that the data of each node is not only complete but also accurate. For example, first obtain the time and resource usage records of each node through database query statements, and then use data cleaning technology to eliminate incomplete or abnormal data records. Next, apply data normalization processing technology to adjust the data range to ensure data consistency and comparability. Finally, group the nodes through clustering algorithms to more accurately simulate and predict the distribution trends of resources and time. This process requires strict data management and analysis technology to ensure data accuracy and processing efficiency. The generated initial data on time and resource distribution is the basis for further analysis.

[0037] Based on the initial data of time and resource distribution of the path segment, the comprehensive weight of time consumption and resource distribution of the path segment is calculated using the formula: ; Recalculate each path segment, filter out path segments that meet the time and resource consumption requirements, and generate optimized path segment weight data ; in, Indicates The resource consumption of the path segment, Represents the average resource consumption of all path segments, which is used to measure the deviation of resource consumption. Indicates the standard deviation of resource consumption, used to standardize resource distribution. Indicates The time consumption of the path segment, is the maximum value of the time consumed in the path segment, which is used to adjust the time consumption to a proportion. Indicates the total number of path segments, used to accumulate the weights of all path segments; formula: ; The benefit of the formula is that it allows us to balance the efficiency of resource and time usage while considering the importance of path segments by standardizing resource consumption and combining the relative value of time consumption. It is particularly suitable for the optimization of resource allocation and project time management.

[0038] Detailed explanation of the formula and the process of formula calculation and derivation: set up , , , , , The calculation steps are as follows: 1. Calculate resource deviation ratio: ; 2. Calculate the time consumption ratio: ; 3. Combined formula: ; The results show that the comprehensive weight of the path segment is 16, which means that under the current resource and time configuration, the path efficiency and resource utilization have reached a relatively optimal state, and each unit of resources and time are efficiently utilized. It can be deduced that the optimized construction path data needs to be further adjusted based on this comprehensive weight.

[0039] By using the optimized path segment weight data and combining the connection relationship between the path segments, the time and resource data of the path segments are integrated, the node sequence and weight data of the path segments are reconstructed, and the construction path data is integrated and optimized.

[0040] The key in this process is how to reasonably adjust the sequence of nodes based on the time and resource weight data. First, evaluate the time and resource weights of each node, use the decision tree model to predict the criticality of the node, and then adjust the order of the nodes in the path based on the prediction results, prioritize the key nodes to minimize the total project delay and cost, and then use the simulated annealing algorithm to further optimize the path configuration to ensure that the path configuration solution with the lowest cost and optimal time is found. This integration process requires not only efficient algorithm support, but also accurate data input to ensure the practicality and accuracy of the path optimization results. The generated construction path node set will directly affect the project execution efficiency and cost control.

[0041] See also Figure 6 , the specific steps for obtaining the dynamically adjusted construction path data are: Based on the optimized construction path data, extract real-time monitoring data, including the current status and resource consumption of each node, to form a real-time data set; The collection includes the work status, resource usage and estimated completion time of each node. With this data, construction strategies can be adjusted in real time to cope with changing site conditions and ensure that the project proceeds as planned. At the same time, the generation of real-time data collection adopts data cleaning and preprocessing steps to ensure the accuracy and availability of the data. Through this process, the construction management team can obtain valuable insights on resource distribution and time management, thereby optimizing the entire construction process.

[0042] Using real-time data sets, update the status and resource weight of each path node, and calculate the resource weight update of each node using the formula: ; Get updated node status and resource weight data ; in, Indicates the current amount of resources of the node. is the resource usage, is the adjustment coefficient, Indicates the total number of nodes; formula: ; The formula is useful in that by adjusting the coefficients The logarithmic function can balance resource allocation and prevent excessive concentration or neglect of resources, especially in a construction environment where resource demand changes dynamically. (the current amount of resources of the node) and (resource usage) to dynamically adjust the resource weight of each node, so as to respond more flexibly to the actual needs during the construction process.

[0043] Detailed explanation of the formula and the process of formula calculation and derivation: Assume that in the actual construction process, the current resource amount of a node is 200 units, resource usage The adjustment factor is 50 units. Set to 2. According to the formula, we calculate the resource weight of the node: ; This shows that the resource weight of the node after adjustment is 25.57, which can help the project management team determine whether the node needs additional resource investment or whether resource allocation can be reduced. This result shows that by updating the node resource weight in real time, the construction resource allocation can be effectively and dynamically adjusted, the resource utilization efficiency can be optimized, waste can be reduced, and the construction process can be ensured to proceed smoothly.

[0044] According to the updated node status and resource weight data, the path segments that meet the construction conditions are screened, and the node sets of the path segments are reintegrated to form a reconstructed node status and resource weight data set; This process involves complex data analysis, in which the selection of path segments is based on multiple factors, including but not limited to resource availability, time efficiency and construction safety standards. During the implementation process, the resource weight and status data of each path segment are first sorted and prioritized. Then, through a series of algorithm comparisons, such as resource matching analysis, it is determined which path segments are most suitable for the current construction stage. Then, the system automatically updates the construction path planning to ensure maximum resource utilization while reducing construction delays. This process not only improves construction efficiency, but also ensures construction quality. Through this method, the project management team can quickly respond to changes on site and adjust the construction plan in real time.

[0045] From the reconstructed node status and resource weight data set, the connection and resource allocation of the path segments are integrated and adjusted to generate dynamically adjusted construction path data.

[0046] During this process, the project management team used advanced data processing technology and resource management tools to ensure that the resources and time of all path segments were optimally configured. During the implementation process, the connection relationship and resource allocation plan of each path segment underwent multiple rounds of simulation and adjustment to ensure that the construction path not only met the design requirements but also adapted to the actual situation on site. Through this dynamic adjustment, the construction project can more effectively respond to unforeseen challenges and changes, ensure that the project proceeds as planned, and at the same time optimize resource utilization and reduce waste.

[0047] See also Figure 7 , the specific steps for obtaining the verified construction path data are as follows: Extracting spatial parameters of multi-path nodes from dynamically adjusted construction path data, including width and height information, to form node spatial parameter data; First, the spatial parameters of the path nodes were extracted. This step involves detailed measurements of width and height. By using on-site measurement tools and digital modeling technology, it is ensured that the data obtained accurately reflects the actual spatial dimensions of each node. The spatial parameter data of the nodes include the specific location of each node, the relative height and the connection relationship between nodes. These data are crucial for evaluating the feasibility of the entire construction path. The raw data collected by GPS and laser rangefinders are preliminarily screened and cleaned by data processing software to determine the exact location and height of each node, ensuring that the data support for path adjustment in subsequent steps is accurate.

[0048] Use the node space parameter data to calculate the spatial dimensions of the path segment and measure the width and height of each path segment using the formula: ; Generate path segment spatial dimension data ; in, Indicates the width of the path segment, Indicates the height of the path segment, Represents the length of the path segment, which is used to adjust the contribution of width and height to the spatial size. is the total number of path segments, which is used to cumulatively calculate the spatial dimensions of all path segments; formula: ; The benefit of the formula is that by dividing the sum of the squares of the width and height by the path length, it is possible to more accurately assess whether a path segment is suitable for the passage of construction equipment. Especially in complex or narrow construction environments, this method provides a way to quantify the suitability of a path and help reduce construction delays or the need for replanning due to inappropriate path dimensions.

[0049] Detailed explanation of the formula and the process of formula calculation and derivation: Assume that in an actual engineering project, there are three path segments with widths and heights as follows: , , , the length of each path segment is: The calculation formula is as follows: ; ; ; Overall path suitability score for ; The results showed an overall score of 1.03, indicating that these path segments are acceptable relative to their length at the current width and height, and the passability of construction equipment is reasonable, which helps to confirm which path segments are feasible and further guide the optimization of the construction plan.

[0050] According to the spatial dimension data of the path segment, the obstacle positions are compared, the path segments without obstacles or where the obstacles do not affect the construction are screened, the node set of the path segment is updated, and the updated node status and spatial parameters are obtained; Comparing the positional relationship between the path and the known obstacles on site requires the use of the GIS system and the three-dimensional scanning data sent back from the site. By comparing the path planning data with the actual terrain and the spatial data of the obstacles, it is possible to determine which path segments will not be affected by the obstacles. This process involves a lot of data analysis and spatial data processing. The algorithm compares the path data and the spatial position of the obstacles, calculates possible conflicts and distances, and thus selects those path segments that meet the construction safety standards to ensure safety and efficiency during the construction process. The work at this stage is crucial for the selection of the construction path, which is directly related to the feasibility of the construction and the control of the construction cost.

[0051] The updated node status and space parameters are used to verify and adjust the path to ensure that all path segments meet the construction space conditions and generate verified construction path data.

[0052] Using computer-aided design software, the path is finally optimized, including adjusting the connection order and angle of the nodes and optimizing the layout of the path to adapt to the actual terrain and the needs of construction equipment. This step ensures the final accuracy and practicality of the path data and provides the construction team with a clear and executable construction path map, which is a key step to ensure the smooth progress of construction. The accuracy of the results directly affects the efficiency and safety of the construction phase.

[0053] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. The BIM-based construction information management system is characterized by: The system comprises: The building space construction module is based on the BIM model, extracts the spatial position coordinates and adjacent relationship data of building components, calculates the component connection relationship and spatial distance, and obtains the spatial topological relationship data of building components; The path generation module screens the path node connection relationship based on the spatial topological relationship data of the building components, calculates the total path weight, screens the path nodes that meet the construction task dependency, generates a preliminary spatial node sequence of the construction path, updates the path connection relationship and parameters, and generates the construction path data; The path optimization module calculates the resource distribution sum and time weight of the path segment based on the construction path data, screens the path segments that meet the resource and time conditions, integrates the optimized path node set, extracts the time cost weight of the path node set segment by segment, determines in turn whether the time cost of the path segment exceeds the set threshold, reconstructs the time and resource consumption weight data of the path segment, and generates optimized construction path data; The dynamic adjustment module extracts real-time monitoring data based on the optimized construction path data, updates the path node status and resource weights, screens the path segments whose resources meet the conditions, updates the node set, and generates dynamically adjusted construction path data; The geometric verification module extracts the spatial parameters of the path nodes, calculates the width and height of the path segments, compares the positions of obstacles, screens the path segments that meet the spatial conditions, and generates the verified construction path data based on the dynamically adjusted construction path data.

2. The BIM-based construction information management system according to claim 1 is characterized in that: The spatial topological relationship data of the building components include spatial position coordinates, adjacent relationship data, connection relationship, and spatial distance; the construction path data specifically include path node connection relationship, path total weight, preliminary spatial node sequence, and path connection parameters; the optimized construction path data include resource distribution sum, time weight, optimized path node set, and path segment time and resource consumption weight; the dynamically adjusted construction path data include path node status, resource weight, and node set; the verified construction path data specifically include path node spatial parameters, path segment width, path segment height, and obstacle position.

3. The BIM-based construction information management system according to claim 2 is characterized in that: The steps for acquiring the spatial topological relationship data of the building components are specifically as follows: Extract the spatial position coordinates and adjacent relationships of building components from the BIM model, organize the information through data integration algorithms, and obtain a preliminary spatial relationship data set of building components; Using the preliminary spatial relationship data set of the building components, the connection mode and spatial distance between the components are calculated, and the data structure is optimized by using a distance algorithm to obtain a component connection and distance data set; Based on the component connection and distance data set, spatial analysis technology is used, using the formula: ； Calculate the spatial relationship between components and generate spatial topological relationship data of building components ; in, , Respectively represent The difference between the horizontal and vertical coordinates of the components in space is used to calculate the spatial distance between components in two directions. It is The adjustment parameters of the components are used to adjust the weight of the distance calculation between the corresponding components, thereby affecting the measurement accuracy of the overall spatial relationship. Represents the number of component pairs involved in the calculation, which is an integer.

4. The BIM-based construction information management system according to claim 3 is characterized in that: The steps for obtaining the construction path data are specifically as follows: Based on the spatial topological relationship data of the building components, a graph theory algorithm is used to screen the connection relationship of the path nodes to generate node connection relationship data; Using the node connection relationship data, calculating the total weight of multiple connection paths, applying the minimum cost path algorithm to optimize the selected path, and obtaining optimized path weight data; According to the construction task dependency requirements, eligible path nodes are selected from the optimized path weight data to generate a preliminary spatial node sequence; Using the preliminary spatial node sequence, the path connection relationship and parameters are updated using the formula: ； Calculate path parameters and obtain construction path data ; in, Represents the weight value of the connection between each path node, The criticality score of the representative node refers to the strategic position and criticality of the node in the construction. Indicates the total number of nodes, used to calculate the average value.

5. The BIM-based construction information management system according to claim 4 is characterized in that: The steps for obtaining the optimized path node set are specifically as follows: Extracting resource distribution and time consumption information of multiple path segments from the construction path data, combining the resource and time information of each segment through a data integration method to form initial path segment resource and time data; Using the initial path segment resource and time data, a comprehensive resource and time evaluation is performed on multiple path segments using the formula: ； Calculate the comprehensive weight of each path segment, filter the path segments that meet the target conditions, and obtain the filtered path data ; in, Representative The resource amount of the path segment, which specifies the amount of resources allocated to the path segment. is the critical weight of the path segment, For the The time consumption of the path segment, Represents the total number of path segments, used to complete the cumulative calculation of all qualified path segments; According to the filtered path data, the node connection relationship of the entire construction path is reconstructed, and the node set is integrated and optimized through an iterative path optimization algorithm to generate a construction path node set.

6. The BIM-based construction information management system according to claim 5, characterized in that: The steps for obtaining the optimized construction path data are specifically as follows: Based on the optimized path node set, extract the time consumption and resource distribution data of the path segment, integrate and classify the extracted data according to the connection relationship of the path segment, and generate the initial time and resource distribution data of the path segment; Based on the initial data of time and resource distribution of the path segment, the comprehensive weight of time consumption and resource distribution of the path segment is calculated using the formula: ； Recalculate each path segment, filter out path segments that meet the time and resource consumption requirements, and generate optimized path segment weight data ; in, Indicates The resource consumption of the path segment, Represents the average resource consumption of all path segments, which is used to measure the deviation of resource consumption. Indicates the standard deviation of resource consumption, used to standardize resource distribution. Indicates The time consumption of the path segment, is the maximum value of the time consumed in the path segment, which is used to adjust the time consumption to a proportion. Indicates the total number of path segments, used to accumulate the weights of all path segments; By using the optimized path segment weight data and combining the connection relationship between the path segments, the time and resource data of the path segments are integrated, the node sequence and weight data of the path segments are reconstructed, and the construction path data is integrated and optimized.

7. The BIM-based building construction information management system according to claim 6, characterized in that: The steps for obtaining the dynamically adjusted construction path data are specifically as follows: Based on the optimized construction path data, extract real-time monitoring data, including the current state and resource consumption of each node, to form a real-time data set; Using the real-time data set, the status and resource weight of each path node are updated, and the resource weight update of each node is calculated using the formula: ； Get updated node status and resource weight data ; in, Indicates the current amount of resources of the node. is the resource usage, is the adjustment coefficient, Indicates the total number of nodes; According to the updated node status and resource weight data, the path segments that meet the construction conditions are screened, and the node sets of the path segments are reintegrated to form a reconstructed node status and resource weight data set; From the reconstructed node status and resource weight data set, the connection and resource allocation of the path segments are integrated and adjusted to generate dynamically adjusted construction path data.

8. The BIM-based construction information management system according to claim 7, characterized in that: The steps for obtaining the verified construction path data are specifically as follows: Extracting spatial parameters of multi-path nodes from the dynamically adjusted construction path data, including width and height information, to form node spatial parameter data; The spatial dimension of the path segment is calculated using the node spatial parameter data, and the width and height of each path segment are measured using the formula: ； Generate path segment spatial dimension data ; in, Indicates the width of the path segment, Indicates the height of the path segment, Represents the length of the path segment, which is used to adjust the contribution of width and height to the spatial size. is the total number of path segments, which is used to cumulatively calculate the spatial dimensions of all path segments; According to the spatial dimension data of the path segment, the obstacle positions are compared, the path segment without obstacles or the obstacles do not affect the construction is screened, the node set of the path segment is updated, and the updated node state and spatial parameters are obtained; The updated node status and space parameters are used to verify and adjust the path, ensure that all path segments meet the construction space conditions, and generate verified construction path data.

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