BIM-based Construction Site Material Monitoring and Management Method and System

Abstract

The present invention relates to the technical field of material storage management, and in particular to a method and system for monitoring and managing construction site materials based on BIM. The method includes the following steps: obtaining construction project drawings; extracting drawing information from the construction project drawings to obtain construction project material information data and construction project structure data; performing three-dimensional modeling of the construction project on the construction project material information data and the construction project structure data to generate construction project three-dimensional modeling data; obtaining total construction material data; using BIM technology to perform material information modeling on the total construction material data to generate total construction material modeling data. The present invention realizes accurate three-dimensional modeling, intelligent marking, regional storage and real-time allocation of construction site materials through BIM technology, improving the accuracy of construction site material monitoring management and the real-time response to emergencies.

Description

Technical Field

[0001] The present invention relates to the technical field of material storage management, and in particular, to a method and system for monitoring and managing construction site materials based on BIM. Background Art

[0002] At first, construction management mainly relied on traditional manual records and paper drawings, and material management relied on manual inventory and on-site supervision. Such a management method was inefficient and prone to errors. With the development of computer technology, the construction industry began to introduce computer-aided design (CAD) systems, but still failed to achieve real-time dynamic monitoring of material information. Entering the 21st century, the application of BIM technology has gradually become an innovation trend in the construction industry. Through digital three-dimensional modeling, BIM provides comprehensive building design, construction, and operation data, and provides a more accurate collaboration and management platform for all stages of the project. As an important link in the construction site, the application of BIM enables construction personnel to accurately predict material requirements based on real-time data, and optimize the material procurement, transportation, and storage processes. With the continuous progress of the Internet of Things (IoT), big data, and cloud computing technologies, the material management function of BIM has been further expanded. The application of IoT sensors enables real-time monitoring of the material conditions at the construction site. The BIM platform integrates with this data to form an intelligent and automated material management system. However, at present, the traditional material management system cannot accurately and in real time grasp the storage situation of materials, and the methods of material marking and management are relatively rough, which is easy to cause resource waste or misallocation. At the same time, it is difficult to monitor the flow and status of materials in real time, and there is no effective emergency response mechanism, resulting in low accuracy and real-time emergency response of the construction site material monitoring and management. Summary of the Invention

[0003] Based on this, it is necessary to provide a method and system for monitoring and managing construction site materials based on BIM to solve at least one of the above technical problems.

[0004] To achieve the above object, a method for monitoring and managing construction site materials based on BIM, the method includes the following steps:

[0005] Step S1: Obtain the construction project drawings; extract the drawing information from the construction project drawings to obtain the construction project material information data and the construction project structure data; perform three-dimensional modeling on the construction project material information data and the construction project structure data to generate the construction project three-dimensional modeling data;

[0006] Step S2: Obtain the total construction material data; use BIM technology to perform material information modeling on the total construction material data to generate the total construction material modeling data; perform key material marking on the total construction material modeling data according to the three-dimensional modeling data of the construction project to generate the first type of material marking data, and perform in-situ storage management on the total construction material data through the first type of material marking data to generate the first type of material storage management data; perform edge material marking on the total construction material modeling data according to the key material information data of the construction project to generate the second type of material marking data, and perform regionalized storage management on the total construction material data through the second type of material marking data to generate the second type of material storage management data;

[0007] Step S3: Perform emergency material marking on the three-dimensional modeling data of the construction project to generate the third type of material marking data; perform associated storage management through the second type of material marking data and the third type of material marking data to generate the third type of material storage management data; confirm the storage management scope through the first type of material storage management data, the second type of material storage management data, and the third type of material storage management data to obtain the material storage scope distribution map;

[0008] Step S4: Calculate the position data of the center point of the storage scope for the material storage scope distribution map to obtain the position data of the center point of the material storage scope; construct a material storage sensing network according to the position data of the center point of the material storage scope to generate a material storage sensing network; use the material storage sensing network to perform intelligent material storage allocation to generate intelligent material storage allocation management data for implementing on-site material monitoring management operations.

[0009] The present invention locates the distribution map of the material storage range and calculates the position of the center point of the storage range to ensure the effective management of the material storage area. The center point calculation helps to optimize the distribution of the storage area, thereby improving the efficiency of material storage and retrieval, and reducing the handling distance. The position data of the material storage range can accurately display the storage area, support the optimization of the spatial layout of various materials, reduce the waste of storage space, and improve the utilization rate of material storage. According to the position of the center point of the material storage range, sensors are deployed to ensure that each material storage position can be effectively monitored. This enables the real-time collection and feedback of the material storage information at the construction site, facilitating the management personnel to master the dynamic changes of the material storage. A material storage sensing network is constructed through the sensor deployment data. The sensing network can monitor the storage conditions, inventory levels, and usage frequencies of various materials in real time to ensure the accuracy and real-time nature of the material management at the construction site. The intelligent allocation of different types of materials is carried out using the material storage sensing network. This can not only dynamically adjust the storage positions of materials according to actual needs but also optimize the material inbound and outbound processes. This helps to reduce the handling time of materials and reduce the scheduling delays caused by improper material storage. Through the real-time material monitoring and management operations, the construction team can clearly understand the storage status and usage conditions of various materials. When a certain type of material is about to run out or the inventory is abnormal, the system will issue a warning to ensure the uninterrupted supply of materials and prevent construction delays caused by material shortages. Through the intelligent material storage allocation management, the storage positions and inbound and outbound plans can be dynamically adjusted according to the material usage frequency and demand. This can avoid waste caused by excessive or insufficient material stacking, and at the same time avoid over-purchasing or inventory backlog, further reducing the material management cost. The real-time monitoring and dynamic allocation of material storage make the material scheduling more flexible. When changes occur at the construction site (such as sudden demands or construction progress adjustments), the storage and allocation of materials can quickly adapt to the changes to ensure that the construction efficiency is not affected. Through the construction of the material storage sensing network, the safety of material storage can be monitored in real time, especially the storage status of dangerous goods or perishable materials. The sensors can detect abnormalities in a timely manner and provide warning signals, thereby reducing potential safety hazards during the material storage process. Once an abnormal situation is found in the material storage (such as the material is about to run out or the storage conditions do not meet the requirements), the system can promptly remind the construction personnel to take countermeasures. Through the intelligent allocation and real-time monitoring, the emergency response ability at the construction site has been significantly improved to ensure the smooth progress of the project. Therefore, the present invention realizes the accurate three-dimensional modeling, intelligent marking, regionalized storage, and real-time allocation of the construction site materials through the BIM technology, improving the accuracy of the construction site material monitoring management and the real-time nature of the emergency response.

[0010] Preferably, step S1 includes the following steps:

[0011] Step S11: Obtain the construction project drawings;

[0012] Step S12: Extract construction project material information from the construction project drawings to obtain construction project material information data; analyze the structure of the construction project based on the construction project material information data to generate construction project structure data;

[0013] Step S13: Perform data preprocessing on the construction project material information data and the construction project structure data to generate standard construction project material information data and standard construction project structure data, where the data preprocessing includes data cleaning, data denoising, filling of missing data values, and data standardization;

[0014] Step S14: Perform 3D modeling on the standard construction project material information data and the standard construction project structure data to generate construction project 3D modeling data.

[0015] The present invention extracts material information from construction project drawings and analyzes structure data, which helps to comprehensively grasp the material requirements and structural characteristics of the construction project, laying a solid foundation for subsequent modeling and analysis. The data cleaning, denoising, missing value filling, and standardization performed in Step S13 can effectively reduce the impact of data inconsistency or errors, ensuring the accuracy and reliability of subsequent analysis and modeling. The construction project 3D modeling data generated in Step S14 presents complex drawings, material, and structural information in an intuitive 3D form, which helps the construction team and relevant parties to more intuitively understand the project layout and design details. Combining construction material information and structure data with 3D modeling not only improves the efficiency of information management but also provides high-quality data support for cost estimation, construction period arrangement, and risk analysis of the construction project. Through the 3D modeling data, the construction team can cooperate more efficiently with the design party, supply chain, and regulatory agencies, reducing misunderstandings and modifications caused by information asymmetry and improving the overall coordination of the construction project. The standardized data and 3D modeling results can be further used in intelligent construction systems, such as automatically generating construction plans, material optimization, and real-time monitoring of construction progress, laying a foundation for the digitalization and intelligentization of construction projects.

[0016] Preferably, Step S14 includes the following steps:

[0017] Step S141: Extract material physical property data from the standard construction project material information data; calculate the structural complexity of the standard construction project structure data to obtain construction project structure complexity data; perform multi-scale feature decomposition on the standard construction project material information data based on the material physical property data and the construction project structure complexity data to generate construction project multi-scale feature data;

[0018] Step S142: Perform local geometric modeling on the multi-scale feature data of the construction project to generate local geometric model data; perform local feature fusion on the local geometric model data to generate global geometric modeling data; perform global consistency optimization on the global geometric modeling data to generate project global consistency model data;

[0019] Step S143: Use a preset dynamic construction simulation engine to simulate the virtual construction process of the project global consistency model data to generate construction project virtual construction model data; perform model rendering on the construction project virtual construction model data to generate construction project three-dimensional modeling data.

[0020] Through the extraction of material physical properties and the calculation of structural complexity (Step S141), the present invention realizes a deep understanding of the material and structural information of the construction project, and generates high-dimensional feature data through multi-scale feature decomposition, providing accurate input data for subsequent modeling. Local geometric modeling and feature fusion (Step S142) not only ensure the accuracy of structural details, but also improve the overall coordination of the model through global consistency optimization. This modeling method adapts to the modeling requirements of complex structures and avoids data fragmentation or modeling distortion. By using a dynamic construction simulation engine (Step S143), the construction process can be virtually reproduced, so as to discover potential problems in advance and provide support for the optimization of construction plans and risk avoidance. This dynamic simulation provides a dynamic and forward-looking decision-making basis for the planning and execution of construction projects. By generating construction project three-dimensional modeling data through model rendering (Step S143), an intuitive three-dimensional display form is provided. High-quality three-dimensional models contribute to the evaluation and presentation of construction plans, promoting communication and collaboration among project participants. The combination of virtual construction simulation and global consistency model makes the construction plan more operable. The project team can use these data for construction process verification, construction period deduction, and material optimization to further improve construction efficiency. High-precision three-dimensional modeling data can be used as the core input of the digital construction management system to support automated construction equipment scheduling, intelligent material distribution, and real-time construction monitoring, providing a solid foundation for intelligent construction. Dynamic simulation and global optimization enable construction problems to be exposed and solved in advance in a virtual environment, reducing rework and resource waste, thereby reducing construction costs and risks. It is applicable to the modeling of high-complexity structures and multi-type materials in complex construction projects, expanding the adaptability and technical level of construction teams in different projects.

[0021] Preferably, using a preset dynamic construction simulation engine to simulate the virtual construction process of the project global consistency model data includes:

[0022] Extract dynamic construction process parameters from the project global consistency model data to generate a dynamic construction process data set; perform logical analysis of the construction process on the dynamic construction process data set to generate construction project logical process data;

[0023] The dynamic mechanical response simulation of the logical process data of the construction project is carried out by finite element dynamic simulation technology to generate the dynamic mechanical response data of the construction project;

[0024] The virtual construction process simulation of the dynamic construction process data set is carried out by a preset dynamic construction simulation engine using the dynamic mechanical response data of the construction project to generate the virtual construction model data of the construction project, where the virtual construction process simulation includes key process operation simulation, equipment movement trajectory simulation and construction environment change simulation.

[0025] The present invention comprehensively extracts the key parameters in the global consistency model data to generate a dynamic construction process data set, making the process planning more refined and scientific. Through logical analysis, the construction process is sorted out and optimized, effectively avoiding process conflicts, logical errors or repetitive operations, and improving construction efficiency. By using finite element dynamic simulation technology, the dynamic behavior such as stress distribution, displacement and vibration characteristics of each structural component during the construction process is deeply analyzed, potential risks are identified in advance, and the accident rate is reduced. The construction design is optimized through the simulation results, and the stability and safety of the construction area are improved, especially when constructing in complex geological conditions or high-risk areas. The all-round simulation of key process operations, equipment movement trajectories and construction environment changes visualizes the construction process, providing intuitive operation guidance and global awareness for the construction team. Through the simulation of construction environment changes, such as the dynamic effects of variables such as temperature, humidity and wind speed, the real construction conditions are reproduced, which is convenient for formulating coping strategies. By simulating the equipment movement trajectory and key process operations, the construction path and process are optimized, resource waste and repetitive labor are reduced, and the construction period is shortened. Problems are discovered and solved in advance in the virtual environment, avoiding major adjustments and rework during construction, thereby reducing the overall construction cost. The virtual construction model provides clear shared data for the construction team, the design party and the supervision party, promoting efficient collaboration and information alignment. Based on the dynamic mechanical response data and virtual process simulation results, the management level can quickly evaluate the feasibility of the construction plan and make scientific decisions. It is applicable to high-complexity structure projects, such as large bridges, super high-rise buildings, etc., to ensure the feasibility and efficiency of the construction plan. By simulating various construction environment changes, the construction plan can be adjusted and optimized according to different environmental conditions, especially showing excellent performance in extreme climates or resource-constrained situations. The generated virtual construction model data can be used as the input of the intelligent construction system, providing data support for automated construction equipment, material management systems and real-time monitoring of the construction process.

[0026] Preferably, step S2 includes the following steps:

[0027] Step S21: Obtain the total construction material data;

[0028] Step S22: Use BIM technology to perform material information modeling on the total construction material data to generate total construction material modeling data; screen key materials from the total construction material modeling data based on the three-dimensional modeling data of the construction project to generate key material information data for the construction project;

[0029] Step S23: Perform the first type of material marking on the total construction material data through the key material information data of the construction project to generate the first type of material marking data, and perform in-situ storage management on the total construction material data through the first type of material marking data to generate the first type of material storage management data;

[0030] Step S24: Screen marginal materials from the total construction material modeling data according to the key material information data of the construction project to generate marginal material information data for the construction project, and perform the second type of material marking on the total construction material data through the marginal material information data for the construction project to generate the second type of material marking data; perform regionalized storage management on the total construction material data through the first type of material marking data to generate the second type of material storage management data.

[0031] The present invention performs the first type of material marking on the total construction material data through the key material information data of the construction project to ensure the rapid identification and priority management of core materials. The generated first type of material storage management data helps the in-situ efficient management of key materials. The screening and marking of marginal materials generate the second type of material storage management data, which optimizes the material distribution through regionalized storage and improves the access efficiency. Using BIM technology to model the total construction material data generates structured total construction material modeling data, providing data support for the subsequent screening of key materials and marginal materials. Combining the three-dimensional modeling data of the construction project to analyze the material modeling data ensures that the material classification and management highly match the construction requirements, avoiding excessive redundancy or omission. Realize the in-situ storage of key materials through the first type of material marking data, reduce the material scheduling time, and improve the logistics efficiency at the construction site. Classify and store marginal materials regionally through the second type of material marking data, optimizing the space utilization rate and material management efficiency of the construction site. Accurately screen and mark materials, reducing unnecessary repeated purchases and material waste. Through material modeling and classification management, realize the dynamic scheduling of construction resources, improve the resource utilization rate and cost-effectiveness during the construction process. Through classification marking and regionalized management, it is possible to quickly respond to construction plan adjustments, ensure the priority supply of key materials and the reasonable scheduling of marginal materials. Based on the dynamic update of the material modeling data, ensure the accuracy and real-time nature of the material information during the construction process. Through the combination of BIM technology and marking data, simplify the material management process in a complex construction environment, reducing the risks of material accumulation, omission, or misuse. The regionalized storage management of marginal materials can reduce the risk of conflicts in the logistics scheduling at the construction site and improve the management efficiency.

[0032] Preferably, the screening of key materials from the overall construction material modeling data based on the three-dimensional modeling data of the construction project includes:

[0033] Extract the geometric features and standard attributes of the materials from the overall construction material modeling data to obtain material geometric feature data and material attribute data; vectorize the multi-dimensional features of the overall construction material modeling data through the material geometric feature data and the material attribute data to generate overall construction material geometric feature data;

[0034] Perform dimensional geometric matching on the three-dimensional modeling data of the construction project and the overall construction material geometric feature data to generate preliminary candidate key material data; conduct an analysis of the material processing requirements for the preliminary candidate key material data to generate material processing requirement data; screen out the non-processing requirement materials from the preliminary candidate key material data according to the material processing requirement data to obtain the key material information data of the construction project.

[0035] By extracting the geometric features and standard attributes of materials from the overall construction material modeling data, the present invention can comprehensively understand the shape and functional characteristics of each material, providing high-quality data support for subsequent screening. Vectorizing the geometric features and attribute data of materials generates more structured material data, facilitating efficient geometric matching and screening. This process improves the accuracy of material screening and avoids interference from irrelevant materials. By performing dimensional geometric matching on the three-dimensional modeling data of the construction project and the geometric feature data of materials, it is possible to accurately determine which materials meet the actual requirements of the construction project, generating preliminary candidate key material data to ensure seamless docking of the selected materials with project requirements. Through material processing requirement analysis and non-processing requirement material screening, materials that do not meet processing requirements are effectively eliminated, ultimately obtaining key material information data that meets construction requirements, thus avoiding unnecessary material waste. Through the precise screening of key materials, it is ensured that the construction project can reasonably allocate resources according to actual needs, thereby reducing the situation of material accumulation or shortage and enhancing the maximum efficiency of resource utilization. The selected key material information data makes material management more efficient, avoids the repeated processing of irrelevant materials, simplifies the material storage and scheduling processes, and reduces management complexity. By analyzing the processing requirements of materials, the construction process can be optimized and adjusted, reducing delays caused by material processing problems. According to the changes in actual material requirements and processing requirements, timely adjustments can be made during the project progress to avoid construction delays or cost increases due to material problems. By screening out materials that do not require processing, the procurement of materials that do not meet requirements is reduced, lowering material procurement and storage costs. Precise material selection and management not only ensure the smooth progress of construction but also effectively reduce rework and waste caused by material mismatch or non-conformance, optimizing the overall construction cost. Through the precise screening and matching of materials, the generated data can provide real-time support for the intelligent management system at the construction site, enhancing the automation level of the construction process.

[0036] Preferably, step S3 includes the following steps:

[0037] Step S31: Conduct construction dynamic early warning on the three-dimensional modeling data of the construction project to generate construction dynamic early warning data; based on the construction dynamic early warning data, conduct emergency material requirement analysis on the three-dimensional modeling data of the construction project to generate emergency material requirement data;

[0038] Step S32: Based on the emergency material requirement data, conduct emergency material processing prediction on the second category of material marking data to generate emergency material processing prediction data; through the emergency material processing prediction data, conduct marking of the third category of materials on the second category of material marking data to generate the third category of material marking data;

[0039] Step S33: Perform associated storage management through the second type of material marking data and the third type of material marking data to generate the third type of material storage management data;

[0040] Step S34: Confirm the storage management scope through the first type of material storage management data, the second type of material storage management data, and the third type of material storage management data, so as to obtain the material storage scope distribution map.

[0041] Through the construction dynamic warning of the three-dimensional modeling data of the construction project, the present invention can monitor the construction progress, environmental changes, and potential risks in real time. The generated construction dynamic warning data provides timely warnings for the construction team, helps to identify and solve problems in the construction process in a timely manner, and reduces the possibility of safety accidents and construction delays. According to the construction dynamic warning data, the emergency material demand analysis is carried out, which helps to prepare and dispatch materials in advance in case of emergencies, and avoid affecting the construction progress due to material shortages or delays. According to the emergency material demand data, the emergency material processing prediction of the second type of materials can accurately predict which materials need to be processed in the short term and ensure their timely production. Through this process, the sudden material demand in the construction project can be quickly responded to, and the construction period delay caused by material shortage can be reduced. By applying the emergency material processing prediction data, the second type of materials is marked as the third type of materials, forming a new material classification. This process ensures that the material marking at the construction site is more accurate and orderly, thus improving the material management efficiency. Through the associated storage management of the second type of material marking data and the third type of material marking data, it can be ensured that each type of material is effectively stored and dispatched. The associated storage management helps to avoid material accumulation and overstocking, reduce material waste, and improve the availability of materials. By integrating the first type, the second type, and the third type of material storage management data, the material storage scope distribution map is generated. This provides a clear material storage layout for the construction project, making the material management more systematic and visual. The construction personnel can intuitively understand the location and quantity of material storage, thus improving the efficiency of material dispatching and distribution. The generated material storage scope distribution map helps the construction project management personnel to understand the material storage situation in real time and make dynamic adjustments as needed. This function helps to optimize the material flow and reduce material distribution errors, ensuring that the construction progress is smoothly advanced according to the predetermined plan. In case of emergencies, the material storage and dispatching plan can be adjusted in a timely manner, quickly respond to the demand changes, improve the utilization efficiency of materials, and ensure the continuity of project construction. Through accurate material demand analysis and processing prediction, over-purchasing and unnecessary material reserves are avoided, and the material procurement and storage costs are reduced.

[0042] Preferably, the associated storage management through the second type of material marking data and the third type of material marking data includes:

[0043] Confirm the storage location of the second type of material marking data to obtain the storage location data of the second type of material; confirm the construction warning location of the construction dynamic warning data according to the third type of material marking data to obtain the construction warning location data;

[0044] Connect the warning paths of the construction warning location data to generate the warning location path data; calculate the interval distance between the storage location data of the second type of material through the warning location path data to generate the construction warning interval distance data; use the construction warning interval distance data to equalize the distance of the third type of material marking data to generate the average distance data;

[0045] Analyze the material usage frequency of the third type of material marking data through the average distance data to generate the material usage frequency data; associate the shortest distance storage path with the average distance data according to the material usage frequency data to generate the storage management data of the third type of material.

[0046] Through the associated storage management of the marking data of the second type of materials and the marking data of the third type of materials, the storage location of each type of material is first confirmed, which helps to reduce storage errors and ensure that materials can be quickly dispatched to the required locations. Connecting the construction warning location data with the warning path generates warning location path data, which further optimizes the material retrieval path and helps to accelerate the allocation and use of materials during construction. By analyzing the construction warning location path data, the interval distance between the material storage location and the warning path is calculated to generate construction warning interval distance data. This helps the construction team to quickly understand the safety of material storage and the emergency response path in case of an emergency, ensuring that necessary emergency measures can be taken within the shortest time. By averaging the construction warning interval distance data, the average distance data is obtained, which helps to establish a reasonable usage and dispatching distance between different materials, thus ensuring the continuity and efficiency of material supply. At the same time, by analyzing the material usage frequency, high-frequency used materials can be identified, so as to make preparations and dispatching in advance, further improving the response speed of construction. Through the comprehensive analysis of the average distance data and the material usage frequency data, the shortest distance storage path association is generated, which can greatly shorten the moving time of materials from the storage location to the usage location. This reduces the handling cost of materials at the construction site, improves the construction efficiency, and avoids the delay of material allocation caused by distance problems. Based on the usage frequency and distance analysis, the storage path and layout can be optimized, unnecessary material storage redundancy can be reduced, the accuracy of material management can be improved, and further the material procurement and storage costs can be reduced. By analyzing the material usage frequency and the average distance, it is possible to more accurately predict which materials need to be preferentially stocked and dispatched, ensuring that key materials can reach the required locations on time during construction, and avoiding material waste and unnecessary dispatching delays. Optimizing the material storage path, reducing unnecessary handling and adjustment, can effectively improve the material usage efficiency, reduce manual intervention, ensure that the project progress is not affected by material management, and thus improve the overall efficiency of the construction project. By connecting the construction warning location data with the path, potential risk points during the construction process can be monitored in real time. Any danger or warning situation generated during material dispatching can be identified and processed in advance, enhancing construction safety. The optimization of the material storage management data and the warning path analysis can ensure that in case of an emergency, the construction project can quickly respond and implement effective material dispatching, avoiding the impact on the project progress. By optimizing the material storage management and path planning, unnecessary transportation and storage costs are reduced, the efficiency of material dispatching is improved, and thus the overall construction cost is reduced.

[0047] Preferably, step S4 includes the following steps:

[0048] Step S41: Locate the storage positions on the material storage range distribution map to generate material storage range position data; calculate the position of the center point of the range based on the material storage range position data to obtain the material storage range center point position data;

[0049] Step S42: Deploy sensors according to the material storage range center point position data to obtain sensor deployment data; construct a material storage sensing network for the material storage range distribution map through the sensor deployment data to generate a material storage sensing network;

[0050] Step S43: Use the material storage sensing network to perform intelligent material storage allocation for the first type of material marking data, the second type of material marking data, and the third type of material marking data to generate intelligent material storage allocation management data for implementing the material monitoring management operation at the construction site.

[0051] The present invention locates and calculates the center point position of the material storage range distribution map to ensure the effective management of the material storage area. The center point calculation helps to optimize the distribution of the storage area, thereby improving the efficiency of material storage and retrieval, and reducing the handling distance. The position data of the material storage range can accurately display the storage area, support the optimization of the spatial layout of various materials, reduce the waste of storage space, and improve the utilization rate of material storage. Sensors are deployed according to the center point position of the material storage range to ensure that each material storage position can be effectively monitored. This enables the real-time collection and feedback of the material storage information at the construction site, facilitating the management personnel to master the dynamic changes of material storage. A material storage sensing network is constructed through the sensor deployment data, further enhancing the intelligent level of material storage. The sensing network can monitor the storage conditions, inventory levels, and usage frequencies of various materials in real time to ensure the accuracy and real-time nature of material management at the construction site. Intelligent allocation of different types of materials is carried out using the material storage sensing network, which can not only dynamically adjust the storage positions of materials according to actual needs but also optimize the material inbound and outbound processes. This helps to reduce the handling time of materials and reduce the scheduling delays caused by improper material storage. Through real-time material monitoring and management operations, the construction team can clearly understand the storage status and usage conditions of various materials. When a certain type of material is about to run out or the inventory is abnormal, the system will issue a warning to ensure the uninterrupted supply of materials and prevent construction delays caused by material shortages. Through intelligent material storage allocation management, the storage positions and inbound and outbound plans can be dynamically adjusted according to the usage frequency and demand of materials. This can avoid waste caused by excessive or insufficient stacking of materials, and at the same time avoid over-purchasing or inventory backlog, further reducing the material management cost. Real-time monitoring and dynamic allocation of material storage make material scheduling more flexible. When changes occur at the construction site (such as sudden demands or construction progress adjustments), the storage and allocation of materials can quickly adapt to the changes to ensure that the construction efficiency is not affected. Through the construction of the material storage sensing network, the safety of material storage can be monitored in real time, especially the storage status of dangerous goods or perishable materials. The sensors can detect abnormalities in a timely manner and provide warning signals, thereby reducing potential safety hazards during material storage. Once an abnormal situation is found in material storage (such as the material is about to run out or the storage conditions do not meet the requirements), the system can promptly remind the construction personnel to take countermeasures. Through intelligent allocation and real-time monitoring, the emergency response ability at the construction site has been significantly improved to ensure the smooth progress of the project. Through the material storage sensing network, various data on material storage and usage can be real-time fed back to the construction management system. Through data analysis, the management personnel can make more accurate decisions based on the real-time demand and storage status of materials, further improving the efficiency of construction management.

[0052] In this specification, a BIM-based construction site material monitoring and management system is provided for implementing the above-mentioned BIM-based construction site material monitoring and management method. The BIM-based construction site material monitoring and management system includes:

[0053] A project modeling module, configured to obtain construction project drawings; extract drawing information from the construction project drawings to obtain construction project material information data and construction project structure data; perform three-dimensional modeling of the construction project on the construction project material information data and the construction project structure data to generate construction project three-dimensional modeling data;

[0054] A material storage module, configured to obtain total construction material data; use BIM technology to perform material information modeling on the total construction material data to generate total construction material modeling data; perform key material marking on the total construction material modeling data according to the construction project three-dimensional modeling data to generate first-class material marking data, and perform in-situ storage management on the total construction material data through the first-class material marking data to generate first-class material storage management data; perform marginal material marking on the total construction material modeling data according to the construction project key material information data to generate second-class material marking data, and perform regionalized storage management on the total construction material data through the second-class material marking data to generate second-class material storage management data;

[0055] A storage distribution module, configured to perform emergency material marking on the construction project three-dimensional modeling data to generate third-class material marking data; perform associated storage management through the second-class material marking data and the third-class material marking data to generate third-class material storage management data; confirm the storage management scope through the first-class material storage management data, the second-class material storage management data, and the third-class material storage management data to obtain a material storage scope distribution map;

[0056] A management monitoring module, configured to calculate the position data of the center point of the storage scope for the material storage scope distribution map to obtain the position data of the center point of the material storage scope; construct a material storage sensing network according to the position data of the center point of the material storage scope to generate a material storage sensing network; use the material storage sensing network to perform intelligent material storage allocation to generate intelligent material storage allocation management data for implementing construction site material monitoring and management operations.

[0057] The beneficial effects of the present invention are as follows: By extracting material information and structural data from the construction project drawings, accurate basic data can be provided for the material management at the construction site. 3D modeling visualizes the structure and material information of the construction project, facilitating a comprehensive and intuitive understanding of the material requirements and configuration of the project, thereby providing strong support for subsequent management and scheduling. Using BIM technology to model the total construction material data and marking the key materials in combination with the project 3D model, in-situ storage and regionalized storage management of materials are realized. This can ensure the rationality and efficiency of material storage, reduce material waste and management difficulties, and at the same time improve the accuracy of material allocation. Marking the emergency materials and associating them with the regionalized storage management data can ensure that the key materials can be quickly allocated in case of emergency, avoiding construction delays caused by improper material positions. By comprehensively managing the storage scope, the systematicness and orderliness of material storage at the construction site can be ensured, and the emergency response ability of material management can be improved. Through the distribution map and center point calculation of the material storage scope, the location and layout of material storage can be clarified, providing an accurate basis for the construction of the material storage sensor network. Using the sensor network for intelligent allocation can real-time monitor the storage status of materials and dynamically schedule according to requirements, optimizing the material usage efficiency and reducing the material management cost and time waste at the construction site. Therefore, the present invention realizes the accurate 3D modeling, intelligent marking, regionalized storage and real-time allocation of construction site materials through BIM technology, improving the accuracy of construction site material monitoring management and the real-time nature of emergency response. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 is a schematic diagram of the step flow of a method for monitoring and managing construction site materials based on BIM;

[0059] Figure 2 is Figure 1 a schematic diagram of the detailed implementation step flow of step S2 in

[0060] Figure 3 is Figure 1 a schematic diagram of the detailed implementation step flow of step S3 in

[0061] The realization, functional features and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0062] The technical method of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0063] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus the repeated description thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0064] 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 only used to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0065] To achieve the above object, please refer to Figures 1 to 3 , a BIM-based method for monitoring and managing construction site materials, the method comprising the following steps:

[0066] Step S1: Obtain the construction project drawings; extract the drawing information from the construction project drawings to obtain the construction project material information data and the construction project structure data; perform three-dimensional modeling of the construction project on the construction project material information data and the construction project structure data to generate the construction project three-dimensional modeling data;

[0067] Step S2: Obtain the total construction material data; use BIM technology to perform material information modeling on the total construction material data to generate the total construction material modeling data; perform key material marking on the total construction material modeling data according to the construction project three-dimensional modeling data to generate the first type of material marking data, and perform in-situ storage management on the total construction material data through the first type of material marking data to generate the first type of material storage management data; perform marginal material marking on the total construction material modeling data according to the construction project key material information data to generate the second type of material marking data, and perform regional storage management on the total construction material data through the second type of material marking data to generate the second type of material storage management data;

[0068] Step S3: Mark the emergency materials for the 3D modeling data of the construction project to generate the third type of material marking data; perform associated storage management through the second type of material marking data and the third type of material marking data to generate the third type of material storage management data; confirm the storage management scope through the first type of material storage management data, the second type of material storage management data, and the third type of material storage management data, so as to obtain the material storage scope distribution map;

[0069] Step S4: Calculate the position of the center point of the storage scope for the material storage scope distribution map to obtain the position data of the center point of the material storage scope; construct a material storage sensing network based on the position data of the center point of the material storage scope to generate a material storage sensing network; use the material storage sensing network for intelligent material storage allocation to generate intelligent material storage allocation management data to execute the material monitoring management operation at the construction site.

[0070] The present invention locates the distribution map of the material storage range and calculates the position of the center point of the storage range to ensure the effective management of the material storage area. The calculation of the center point helps to optimize the distribution of the storage area, thereby improving the efficiency of material storage and retrieval, and reducing the handling distance. The position data of the material storage range can accurately display the storage area, support the optimization of the spatial layout of various materials, reduce the waste of storage space, and improve the utilization rate of material storage. According to the position of the center point of the material storage range, sensors are deployed to ensure that each material storage position can be effectively monitored. This enables the real-time collection and feedback of the material storage information at the construction site, facilitating the management personnel to master the dynamic changes of material storage. By constructing a material storage sensing network based on the sensor deployment data, the intelligent level of material storage is further improved. The sensing network can monitor the storage conditions, inventory levels, and usage frequencies of various materials in real time to ensure the accuracy and real-time nature of material management at the construction site. Using the material storage sensing network to intelligently allocate different types of materials can not only dynamically adjust the storage positions of materials according to actual needs, but also optimize the material inbound and outbound processes. This helps to reduce the handling time of materials and reduce the scheduling delays caused by improper material storage. Through real-time material monitoring and management operations, the construction team can clearly understand the storage status and usage conditions of various materials. When a certain type of material is about to run out or the inventory is abnormal, the system will issue a warning to ensure the uninterrupted supply of materials and prevent construction delays caused by material shortages. Through intelligent material storage allocation management, the storage positions and inbound and outbound plans can be dynamically adjusted according to the material usage frequency and demand. This can avoid waste caused by excessive or insufficient material stacking, and at the same time avoid over-purchasing or inventory backlog, further reducing the material management cost. The real-time monitoring and dynamic allocation of material storage make the material scheduling more flexible. When changes occur at the construction site (such as sudden demands or construction progress adjustments), the storage and allocation of materials can quickly adapt to the changes to ensure that the construction efficiency is not affected. By constructing a material storage sensing network, the safety of material storage can be monitored in real time, especially the storage status of dangerous goods or perishable materials. The sensor can detect abnormalities in a timely manner and provide warning signals, thereby reducing potential safety hazards during material storage. Once an abnormal situation is found in material storage (such as the material is about to run out or the storage conditions do not meet the requirements), the system can promptly remind the construction personnel to take countermeasures. Through intelligent allocation and real-time monitoring, the emergency response ability at the construction site has been significantly improved, ensuring the smooth progress of the project. Therefore, the present invention realizes the accurate three-dimensional modeling, intelligent marking, regionalized storage, and real-time allocation of construction site materials through BIM technology, improving the accuracy of construction site material monitoring management and the real-time nature of emergency response.

[0071] In the embodiment of the present invention, referring to Figure 1As shown in the figure, it is a schematic diagram of the step flow of a BIM-based construction site material monitoring and management method of the present invention. In this example, the BIM-based construction site material monitoring and management method includes the following steps:

[0072] Step S1: Obtain the construction project drawings; extract the drawing information from the construction project drawings to obtain the construction project material information data and the construction project structure data; perform three-dimensional modeling on the construction project material information data and the construction project structure data to generate the construction project three-dimensional modeling data;

[0073] In the embodiment of the present invention, all relevant drawings of the construction project are obtained, including architectural drawings, structural drawings, electrical drawings, pipeline drawings, etc. These drawings usually exist in electronic formats (such as PDF, DWG, DXF, etc.), or can be obtained by scanning paper drawings. Ensure the integrity of the drawings, including different versions and detailed information of each construction stage. Classify and file the drawings, and screen out relevant drawings according to the requirements of the construction project, such as architectural structure drawings, civil construction drawings, mechanical and electrical installation drawings, etc. Use drawing information extraction software or artificial intelligence technologies (such as optical character recognition OCR, computer vision, deep learning, etc.) to extract key information from the drawings. Extract the specifications, quantities, models, material types, construction standards, etc. of all building or construction materials, and the details of the materials need to be identified from the annotations, tables or symbols in the drawings. Extract the dimensions, proportions, component information, structural positions, etc. of the building structure, including walls, beams, columns, foundations, etc. Store the extracted material information and structural information in a standardized data format for subsequent processing. For example, the material information can be stored in JSON, CSV formats, and the structural information can be stored as two-dimensional plane coordinate data, etc. Select a suitable three-dimensional modeling tool, such as BIM (Building Information Modeling), CAD (Computer Aided Design) tool or specialized three-dimensional modeling software (such as Revit, AutoCAD, SketchUp, etc.). Import the material information data and structural data extracted from the drawings into the three-dimensional modeling tool, and generate a three-dimensional model of the construction project through data visualization and modeling functions. Based on the specifications and dimension data of the materials, generate corresponding building components or member models, such as walls, columns, doors and windows, etc. Create a three-dimensional structural model of the building according to the structural drawing data, including beams, columns, floors, foundations, etc. Start from simple floor plans and elevation views, and gradually establish a three-dimensional space model. Gradually add details, such as building materials, exterior facade treatment, pipeline layout, etc. Automatically or manually correct the dimensions, positions and combinations of the structural elements through building design software. Integrate each part of the construction project (such as civil engineering, structure, electricity, heating, ventilation, etc.) into a comprehensive three-dimensional model. Ensure the spatial relationship and functional adaptation between each part to avoid potential construction conflicts. Finally, the generated construction project three-dimensional modeling data usually includes the geometric data, material data, component data and related attribute information of the model.

[0074] Step S2: Obtain the total construction material data; use BIM technology to perform material information modeling on the total construction material data to generate total construction material modeling data; perform key material marking on the total construction material modeling data according to the three-dimensional modeling data of the construction project to generate the first type of material marking data, and perform in-situ storage management on the total construction material data through the first type of material marking data to generate the first type of material storage management data; perform edge material marking on the total construction material modeling data according to the key material information data of the construction project to generate the second type of material marking data, and perform regional storage management on the total construction material data through the second type of material marking data to generate the second type of material storage management data;

[0075] In the embodiments of the present invention, all material information of a construction project is obtained, which usually includes building materials, structural components, electrical equipment, pipelines, decoration materials, etc. Material data can be obtained from multiple sources. For example: Supplier list: a detailed product catalog from building material suppliers; Construction drawings: relevant material information is extracted from the annotations and material lists in the construction drawings; BIM model: material data is extracted from the BIM (Building Information Modeling) model of the construction project. All the obtained material data is classified and sorted to ensure the completeness of the detailed information of each material, including model, specification, quantity, material, supplier information, etc. A suitable BIM software, such as Revit, AutoCAD, Tekla Structures or other industry standard tools, is selected for modeling. The obtained material data is imported into the BIM system, and systematic material information modeling is carried out according to different types of materials (such as building materials, electrical equipment, pipeline fittings, etc.). The material information modeling process includes: creating or importing a data model of the material, such as a standardized three-dimensional material template, defining the attribute information of the material, such as size, weight, material, application environment, etc., generating a detailed model of the materials required for construction, and ensuring that the model is consistent with the project three-dimensional modeling data. The total construction material modeling data is integrated and generated in the BIM system, which contains the three-dimensional modeling data and its attribute information of all the materials required for construction. Using the three-dimensional modeling data of the construction project, analyze the importance, location and usage frequency of the materials during construction, and identify the key materials. Through the analysis tools in the BIM platform, the materials that are crucial to the project quality, progress and safety are automatically identified. According to the analysis results, the materials are marked to identify the first category of materials (key materials), which play a core role during the construction process, specifically structural materials, important equipment, etc. Generate the first category of material marking data, and mark the location and characteristics of these materials in the BIM model. According to the marking data of the materials, the first category of materials is managed for on-site storage. This means that these materials will be stored in a specific area at the construction site to ensure efficient access during construction. Generate the first category of material storage management data, including information such as the storage location, storage method, access process, etc. In a construction project, in addition to the key materials, there are also some materials that belong to marginal materials (such as non-critical and auxiliary materials), which are also crucial during the construction process, but their demand frequency and impact are relatively low. Use the BIM system to further analyze the materials to identify the second category of materials, that is, marginal materials. According to the analysis results, the second category of materials is marked to generate the second category of material marking data for proper management and distribution during the construction process. According to the material marking data, especially the second category of material marking data, the materials are allocated to different areas at the construction site for storage management. This management method can improve the rationality of storage and the efficiency of material allocation. Generate the second category of material storage management data, including information such as the storage area, storage method, access and storage process, etc.Deploy a management system at the construction site, automatically allocate materials through the data system to ensure the timely and accurate supply of the second type of materials to each construction link. Integrate all material data (including the marking data of the first type of materials, the marking data of the second type of materials, and the storage management data) to form a comprehensive material management database to support the real-time monitoring and management of construction projects. Integrate the data into the BIM system or ERP system to provide data support for subsequent material allocation, procurement, and distribution.

[0076] Step S3: Mark the emergency materials for the 3D modeling data of the construction project to generate the marking data of the third type of materials; perform associated storage management through the marking data of the second type of materials and the marking data of the third type of materials to generate the storage management data of the third type of materials; confirm the storage management scope through the storage management data of the first type of materials, the storage management data of the second type of materials, and the storage management data of the third type of materials, so as to obtain the material storage scope distribution map;

[0077] In the embodiments of the present invention, materials that need to be urgently allocated are identified from the three-dimensional modeling data of a construction project. These materials are usually those that need to be quickly provided during the construction process due to emergencies (such as equipment failures, material shortages, etc.). Based on the construction progress, material consumption rate, and expected construction difficulty, an assessment is made to determine which materials are emergency materials. The identification of emergency materials can be based on the following conditions: if the absence or delay of certain materials will seriously affect the construction progress, based on the material inventory management system, it is predicted that the materials will be in short supply and a warning is issued; the supply of some key equipment or materials is not timely, resulting in the suspension of construction. All emergency materials are marked to generate the third type of material marking data. The emergency material marking data includes information such as the ID, type, emergency level, and expected arrival time of the materials. The marking data is added to the BIM model to ensure that construction personnel can identify emergency materials in real time and view their specific locations and demand situations through the system. The second type of material marking data (peripheral materials) is associated with the third type of material marking data (emergency materials). By analyzing factors such as the storage requirements, storage locations, and usage frequencies of the materials, their relationships are determined. For example, some materials belong to both peripheral materials and emergency materials (such as consumable auxiliary materials or small equipment), and their storage management needs to be specially optimized. Emergency materials (the third type of materials) usually need to occupy a priority position in the material warehouse or storage area. According to the emergency level of the materials, the space planning of the storage area is adjusted so that emergency materials and peripheral materials share the storage area, but emergency materials should have a faster access process. The third type of material storage management data is generated, including information such as the storage location of the materials, emergency handling procedures, and allocation mechanisms. In storage management, priority is given to the extraction and distribution channels of emergency materials to ensure that material requirements can be promptly responded to during the construction process. The first type of material storage management data (critical material storage), the second type of material storage management data (peripheral material storage), and the third type of material storage management data (emergency material storage) are integrated. After integration, the data includes the storage location, storage area scale, storage method, access priority, etc. of each type of material. Based on the above integrated data, the storage requirements of each material category are analyzed to confirm the distribution of the storage areas. The storage scope of each type of material at the construction site is determined. Critical materials are usually located close to the construction operation area, peripheral materials can be stored in a slightly farther area, and emergency materials should be placed in a location for quick access. A visualization tool (such as the space planning module in the BIM system or GIS software) is used to generate a distribution map of the material storage scope. This map can display the specific storage areas of different material categories at the construction site, the area of each area, the storage method, etc. Through the distribution map of the storage scope, it can help project managers, warehouse administrators, and construction personnel quickly identify the storage areas of various materials and improve the efficiency of material scheduling. During the construction process, the storage location, quantity, and demand of the materials will change, so it is necessary to regularly update the distribution map of the material storage scope.Track the construction progress in real time, automatically update the stored data through a material management system (such as an ERP or BIM platform), and ensure that the storage range of each type of material always meets the actual needs. Based on the material storage range distribution map, combined with real-time sensor data, RFID tags, or the material management system, conduct material monitoring and scheduling at the construction site. Through the material storage range distribution map, it is possible to quickly determine which supply chain of materials has bottlenecks and make timely adjustments.

[0078] Step S4: Calculate the position of the center point of the storage range for the material storage range distribution map to obtain the data of the center point position of the material storage range; construct a material storage sensing network based on the data of the center point position of the material storage range to generate a material storage sensing network; use the material storage sensing network for intelligent material storage allocation to generate intelligent material storage allocation management data to execute the material monitoring and management operations at the construction site.

[0079] In the embodiments of the present invention, the material storage range distribution map generated based on step S3 includes information such as the storage area of materials, the storage categories of each area, and the material storage locations. The material storage range distribution map is generated by a BIM or GIS system and includes the specific storage locations of each material category (such as the first category of materials, the second category of materials, the third category of materials). Calculate the geometric center point for each material storage area in the material storage range distribution map. The geometric center point refers to the centroid position of each material storage area, usually calculated in the following ways: considering each material storage area as a polygon and calculating the centroid using its vertex coordinates, or calculating the weighted center point of each area according to the area size of different material storage areas. After calculating the center point of each storage area, obtain the center point position data of the material storage range, where each center point corresponds to a specific material storage area. According to the actual requirements of the construction site and the storage characteristics of materials, select the appropriate type of sensor. For example: temperature and humidity sensors are used to monitor the temperature and humidity of materials in the storage environment, especially for materials sensitive to temperature and humidity (such as wood, chemicals, etc.). Position sensors (such as RFID, barcode scanners) are used to track the position of materials in real time to ensure the accuracy of material access and storage. Weight sensors are used to monitor the inventory of materials and provide real-time feedback on the usage of materials. Environmental sensors are used to monitor environmental factors such as ventilation and lighting in the storage area to ensure that materials are stored under appropriate conditions. Deploy corresponding sensors according to each material storage range center point position data. The arrangement of sensors should be optimized according to the size and shape of the storage area to ensure full coverage of the storage area. Ensure that all materials in the storage area are monitored by sensors. Integrate the data of each sensor into a central monitoring system (for example, based on Internet of Things technology, using wireless communication protocols such as ZigBee, LoRa, Wi-Fi, etc.). Data is transmitted between the sensor and the central control system through a standardized communication protocol to ensure the real-time and accuracy of the information flow. Through the deployed sensor network, real-time collect the storage status data of materials (such as temperature and humidity, inventory, position, etc.). The collected data is processed and analyzed through a cloud platform or a local server to provide a basis for intelligent allocation. Based on the data of the material storage sensing network, design an intelligent material storage allocation system. This system can automatically adjust the storage location, access sequence, and priority of materials according to the actual construction needs. The allocation logic can be based on the following principles: prioritize the allocation of the third category of materials (urgent materials) to ensure that these materials can be obtained in a timely manner during the construction process. Adjust the storage location according to the usage frequency of materials so that frequently used materials can be closer to the construction operation area. Allocate materials based on real-time inventory data to prevent material shortages or surpluses. According to the collected real-time material storage data, use optimization algorithms (such as the shortest path algorithm, dynamic programming, etc.) to optimize the material storage location and allocation path.The deployment management data includes: the recommended storage area for each type of material, the priority and sequence of accessing materials, and the planning of the material transportation path (especially in large-scale construction projects, the transportation path of materials from the warehouse to the construction site needs to be reasonably planned). Generate intelligent material storage deployment management data.

[0080] Preferably, step S1 includes the following steps:

[0081] Step S11: Obtain the construction project drawings;

[0082] Step S12: Extract the construction project material information from the construction project drawings to obtain the construction project material information data; analyze the structure of the construction project based on the construction project material information data to generate the construction project structure data;

[0083] Step S13: Perform data preprocessing on the construction project material information data and the construction project structure data to generate the standard construction project material information data and the standard construction project structure data, where the data preprocessing includes data cleaning, data denoising, filling in missing data values, and data standardization;

[0084] Step S14: Perform three-dimensional modeling of the construction project on the standard construction project material information data and the standard construction project structure data to generate the construction project three-dimensional modeling data.

[0085] In the embodiments of the present invention, the construction project drawings in CAD format are obtained through digital scanning, photography or direct acquisition to ensure the integrity of the drawing information, covering all building, structural and facility-related content. Image processing technology or CAD file parsing tools are used to automatically extract the material information in the drawings. This includes wall materials, floor materials, door and window materials, etc., to generate the construction project material information data. During the extraction process, combined with standardized material coding and database information, the accuracy is ensured. This step includes identifying drawing annotations, symbols and dimension data. The extracted material information is analyzed to identify the key structural parts and generate the construction project structure data, including the structure type, dimensions, load-bearing capacity, etc. Data cleaning technology is used to process the construction project material information data and structure data to remove redundant or incorrect data information. Through denoising algorithms such as Kalman filtering, local regression, etc., the errors caused by noise in the drawings are reduced. Missing values are filled, and interpolation methods based on adjacent data or machine learning methods can be used for filling. All data is standardized so that different types of data (such as dimension units, material specifications) are converted into a unified standard format for subsequent analysis and modeling. Based on the standardized construction project material information data and structure data, CAD software or building information model (BIM) tools are used for 3D modeling. Different building materials and structural elements are mapped into the 3D space, and each component of the model, such as walls, floors, doors and windows, etc., is created and its position, dimensions and form are adjusted according to the actual construction requirements. Finally, the 3D modeling data of the construction project is generated, including structural levels, decoration details and material textures, etc., to ensure the accuracy and operability of the model.

[0086] Preferably, step S14 includes the following steps:

[0087] Step S141: Extract the material physical properties from the standard construction project material information data to obtain the material physical property data; calculate the structural complexity of the standard construction project structure data to obtain the construction project structure complexity data; perform multi-scale feature decomposition on the standard construction project material information data according to the material physical property data and the construction project structure complexity data to generate the construction project multi-scale feature data;

[0088] Step S142: Perform local geometric modeling on the construction project multi-scale feature data to generate local geometric model data; perform local feature fusion on the local geometric model data to generate global geometric modeling data; perform global consistency optimization on the global geometric modeling data to generate the project global consistency model data;

[0089] Step S143: Simulate the virtual construction process for the project global consistency model data through a preset dynamic construction simulation engine to generate the virtual construction model data of the construction project; perform model rendering on the virtual construction model data of the construction project to generate the three-dimensional modeling data of the construction project.

[0090] In the embodiment of the present invention, the physical property data of each building material, including density, elastic modulus, thermal conductivity, compressive strength, etc., are extracted through a material database, literature materials or standard test methods. Combining with the material information data in the construction project drawings, the physical properties of relevant materials are automatically matched and extracted through algorithms to generate the material physical property data. Analyze the structural data of the construction project, and use structural complexity calculation methods, such as graph theory analysis or finite element analysis, etc., to calculate the structural complexity of the project. The calculation of structural complexity involves considering the number of nodes, connection methods, loading paths, etc. of the structure, and finally obtaining the structural complexity data of the construction project, which reflect the stability and construction difficulty of the structure. According to the extracted material physical property data and the structural complexity data of the construction project, perform multi-scale feature decomposition on the standard construction project material information data. This decomposition process decomposes the data into features at multiple scales through multi-scale algorithms (such as wavelet transform, multi-resolution analysis, etc.) to generate the multi-scale feature data of the construction project, which is convenient for subsequent local and global modeling. Based on the multi-scale feature data of the construction project, use three-dimensional modeling algorithms, such as finite element modeling or grid-based modeling techniques, to perform geometric modeling on each local area of the project. These local geometric models include key parts such as the foundation, walls, doors and windows, and floors of the building, generating local geometric model data, which reflect the specific details of the building. Integrate the data of multiple local geometric models, comprehensively consider factors such as the connection and support relationships of different regions, and perform feature integration through algorithms to generate the global geometric modeling data. This step ensures the consistency of local modeling information at the global scale, enabling seamless connection of different modules. Optimize the consistency of the generated global geometric modeling data to ensure coordination and consistency in structure and function. Use global optimization algorithms, such as the principle of minimum energy and constraint optimization methods, to adjust the contact relationship and stress distribution between local geometric models, thereby generating a stable and operable project global consistency model data. Use a preset dynamic construction simulation engine to perform virtual construction simulation on the project global consistency model data. The simulation process includes all stages of construction, such as foundation construction, structure erection, facility installation, etc., considering different processes, resource allocation and time schedule, to generate the virtual construction model data of the construction project. Based on the virtual construction model, perform model rendering, and present the real effect of project construction through three-dimensional rendering technology, including material texture, lighting effect, etc. The generated three-dimensional modeling data of the construction project can not only be used for construction preview, but also for collaborative design and progress display with all parties of the project.

[0091] Preferably, the virtual construction process simulation of the project global consistency model data by a preset dynamic construction simulation engine includes:

[0092] Extracting dynamic construction process parameters from the project global consistency model data to generate a dynamic construction process data set; performing a logical analysis of the construction process on the dynamic construction process data set to generate construction project logical process data;

[0093] Performing a dynamic mechanical response simulation on the construction project logical process data by finite element dynamic simulation technology to generate construction project dynamic mechanical response data;

[0094] Using the construction project dynamic mechanical response data by a preset dynamic construction simulation engine to perform a virtual construction process simulation on the dynamic construction process data set to generate construction project virtual construction model data, where the virtual construction process simulation includes key process operation simulation, equipment movement trajectory simulation, and construction environment change simulation.

[0095] In the embodiments of the present invention, based on the project global consistency model data, various process parameters involved in the construction process are first extracted, including construction procedures, time periods, required materials, number of workers, construction equipment and its configuration, etc. An automated tool (such as BIM software, data acquisition system, etc.) is used to interpret the construction drawings and project requirements to extract specific construction steps and process details. The generated dynamic construction process data set contains detailed process parameter information for each construction stage, such as the usage time of different materials, the sequence and dependency relationships of different construction links, operating conditions, etc. Using the process data set of the construction project, a detailed logical analysis of the construction process is carried out through logical analysis algorithms (such as Petri nets, task dependency analysis, etc.) to ensure that each construction link can be coordinated with each other in terms of time and space and avoid construction conflicts. The factors such as the sequence of construction procedures, resource allocation, and time dependency are deduced to ensure the optimal allocation and scheduling of resources during the construction process. The generated construction project logical process data contains the sequence relationship between each procedure in the construction process, the resource sharing and dependency relationships between procedures, and finally forms a complete construction process and schedule. The finite element analysis (FEA) technology is used to simulate the dynamic mechanical response of the construction project logical process data. According to the structural design and construction process of the project, the mechanical response of each procedure in the construction process to the structure is simulated, including load distribution, stress change, vibration propagation, material deformation, etc. Through simulation calculations, the dynamic mechanical response data of the construction project is obtained. This data includes the mechanical changes and reactions caused to the structure during the implementation of different procedures, and helps to evaluate the structural safety, stability, and potential problems that occur during the construction process. Using the dynamic mechanical response data of the construction project, a virtual construction process simulation of the dynamic construction process data set is carried out through a preset dynamic construction simulation engine. This virtual simulation includes the following aspects: simulating the operation of each key procedure in the construction process, including the use of equipment, the transportation and processing of materials, the operation of workers, etc., to ensure the smoothness and efficiency of the construction process. Through the dynamic simulation of construction equipment (such as cranes, excavators, hoists, etc.), the movement trajectory, working range of the equipment, and the collaborative working mode with other equipment and personnel are demonstrated. Simulating the impact of changes in the construction environment (such as external factors such as weather, temperature, light, etc.) on the construction process, taking into account the impact of environmental changes on construction safety and progress. Combining all aspects of the construction process simulation, the virtual construction model data of the construction project is finally generated. These data not only reflect the physical operations of the construction process, but also show the interaction between equipment, personnel and the environment, as well as the mechanical changes during the construction period. This data is used to provide a highly restored construction scenario for construction workers, designers, and project managers to help discover potential problems before project implementation and optimize the construction plan.

[0096] As an example of the present invention, refer to Figure 2 shown, in this example, step S2 includes:

[0097] Step S21: Obtain the total construction material data;

[0098] Step S22: Use BIM technology to perform material information modeling on the total construction material data to generate total construction material modeling data; Screen key materials from the total construction material modeling data according to the three-dimensional modeling data of the construction project to generate key material information data for the construction project;

[0099] Step S23: Perform the first type of material marking on the total construction material data through the key material information data of the construction project to generate the first type of material marking data, and perform in-situ storage management on the total construction material data through the first type of material marking data to generate the first type of material storage management data;

[0100] Step S24: Screen marginal materials from the total construction material modeling data according to the key material information data of the construction project to generate marginal material information data for the construction project, and perform the second type of material marking on the total construction material data through the marginal material information data of the construction project to generate the second type of material marking data; Perform regional storage management on the total construction material data through the first type of material marking data to generate the second type of material storage management data.

[0101] In the embodiments of the present invention, by collecting all the material information required during the construction process, including building materials, equipment, tools, and other consumables, etc. The material data can be obtained through purchase lists, supplier data, construction budgets, and plans. This data should include the material name, specification, quantity, supplier information, unit price, etc. The obtained total construction material data constitutes the basic information database of the materials, which is the basis for subsequent processing. Use BIM technology (Building Information Modeling) to model the total construction material data. In the BIM platform, based on the three-dimensional model of the construction project, the physical location, usage, and quantity of each material during construction are constructed to generate the total construction material modeling data. This modeling process combines the material information with the three-dimensional building model, and can display the location, type, specification, quantity, and related data of different materials through a graphical interface, providing an intuitive and centralized material management platform. According to the three-dimensional modeling data of the construction project, identify the key materials involved in the project. These materials are usually key structural components or equipment in the construction, directly affecting the progress and quality of the project. By analyzing the material requirements, construction nodes, criticality of materials, and supply chain factors during the construction process, screen out the key material information data of the construction project to prepare for subsequent material management and allocation. According to the key material information data of the construction project, classify the materials and mark them as the first type of materials. This type of material is usually the core material in the construction, with higher priority, importance, or special requirements (such as long-cycle delivery, special equipment, etc.). The marked materials will form the first type of material marking data, which contains all the information of the first type of materials (such as material type, quantity, storage location, etc.). Through the first type of material marking data, manage the in-situ storage of these materials. This process includes reasonably allocating the material storage locations, formulating storage plans and lists to ensure that these key materials can be obtained in a timely manner during the construction process. Generate the first type of material storage management data, which helps construction management personnel to track the storage and usage of these materials in real time, ensuring that they will not be in short supply or stored incorrectly at different stages of the project. During the construction process, although some materials are not as critical as the first type of materials, they are also crucial for the smooth progress of the construction. These materials are usually called "peripheral materials", which are some auxiliary equipment, decorative materials, or some core materials with low usage frequency. According to the key material information data of the construction project, screen these peripheral materials to generate the peripheral material information data of the construction project. The screening basis for peripheral materials includes the usage frequency, importance, and related construction process requirements of the materials. According to the screened peripheral material information, mark these materials as the second type of materials. The second type of materials has a lower priority, but is still necessary in the construction. Generate the second type of material marking data, which will reflect the specific requirements, quantity, and management methods of the materials. Based on the first type of material marking data, conduct regionalized storage management of the first type of materials, and allocate the materials to different regions according to their usage frequency, type, and ease of access.For the second type of materials, appropriate storage arrangements shall be made according to their usage frequency and importance during construction to ensure that these materials can be conveniently retrieved when needed. Generate the storage management data for the second type of materials. Through this data, the material management personnel can efficiently manage the storage and retrieval of materials, avoiding unnecessary delays in material scheduling.

[0102] Preferably, the screening of key materials from the total construction material modeling data based on the three-dimensional modeling data of the construction project includes:

[0103] Extract the material geometric features and standard attributes from the total construction material modeling data to obtain the material geometric feature data and material attribute data; perform multi-dimensional feature vectorization on the total construction material modeling data through the material geometric feature data and material attribute data to generate the total construction material geometric feature data;

[0104] Perform dimensional geometric matching on the three-dimensional modeling data of the construction project and the total construction material geometric feature data to generate preliminary candidate key material data; conduct an analysis of the material processing requirements for the preliminary candidate key material data to generate material processing requirement data; screen out the non-processing requirement materials from the preliminary candidate key material data according to the material processing requirement data to obtain the key material information data for the construction project.

[0105] In the embodiments of the present invention, by analyzing the construction total material modeling data, the geometric feature data of each material is extracted. These geometric features may include the size, shape, structural complexity, etc. of the material. For example, geometric information such as the length, width, height, thickness, shape (such as rectangular, circular, curved, etc.), and surface treatment of building components needs to be extracted and recorded. In addition to geometric features, the standard attribute data of the material also needs to be extracted, including material type, material strength, weight, durability, processability, supplier information, cost, transportation requirements, etc. These attribute data can help further evaluate the applicability of the material in construction and its impact on construction. The geometric features and standard attribute data extracted from the construction total material modeling data are summarized to generate material geometric feature data and material attribute data, providing basic data for subsequent screening and analysis. The material geometric feature data and material attribute data are combined and converted into multi-dimensional feature vectors. This process requires standardizing and normalizing the geometric and attribute data of the material to form multi-dimensional vectors suitable for mathematical modeling and analysis. After vectorization, each material will have a multi-dimensional feature vector, which can be used in subsequent matching, screening, and analysis to identify the key features of the material. Through the above vectorization process, the construction total material geometric feature data is obtained, which includes not only the physical attributes of the material but also its potential functions and values in construction. Perform dimensional geometric matching on the construction project three-dimensional modeling data and the construction total material geometric feature data. At this stage, the size and geometric shape of the materials required in the construction project are matched with the materials in the construction total material library through algorithms. This matching can be carried out by calculating the similarity of geometric shapes, size fitness, etc. The matching results will generate preliminary candidate key material data, and these materials are the materials with important functions or key uses in the construction project. After obtaining the preliminary candidate key material data, it is necessary to analyze the processing requirements of these materials. The analysis content includes whether the material needs secondary processing, whether special treatment is required, processing process requirements, technical requirements, processing cycle, etc. This analysis is usually based on factors such as the type, use, and construction environment of the material to evaluate the processing complexity and difficulty of the material. After analysis, material processing requirement data is generated, which includes the processing requirements, special requirements of all materials, and whether they can be processed on-site or require pre-processing. According to the material processing requirement data, the preliminary candidate key materials are screened to exclude those materials that do not require any processing or are not suitable for on-site processing. This screening step will remove those materials that have less impact on the construction project progress or quality, ensuring that the finally screened key materials can support the construction requirements to the greatest extent. For materials that do not require processing, if their quality and applicability meet the construction requirements, they may still become key materials. Finally, through screening, the construction project key material information data will be obtained. These data reflect the important materials in the construction project, covering key contents such as their geometric features, standard attributes, and processing requirements, providing a basis for material procurement, logistics, and construction plan formulation.

[0106] As an example of the present invention, with reference to Figure 3 shown, in this example, step S3 includes:

[0107] Step S31: Perform construction dynamic early warning on the three-dimensional modeling data of the construction project to generate construction dynamic early warning data; perform emergency material demand analysis on the three-dimensional modeling data of the construction project according to the construction dynamic early warning data to generate emergency material demand data;

[0108] Step S32: Perform emergency material processing prediction on the second type of material marking data according to the emergency material demand data to generate emergency material processing prediction data; perform third type of material marking on the second type of material marking data through the emergency material processing prediction data to generate third type of material marking data;

[0109] Step S33: Perform associated storage management through the second type of material marking data and the third type of material marking data to generate third type of material storage management data;

[0110] Step S34: Confirm the storage management scope through the first type of material storage management data, the second type of material storage management data, and the third type of material storage management data, so as to obtain the material storage scope distribution map.

[0111] In the embodiments of the present invention, by monitoring and dynamically analyzing the three-dimensional modeling data of construction projects, based on information such as construction progress, changes in construction environment, and personnel flow, data at the construction site is obtained through data acquisition devices, sensors, etc. The dynamic warning algorithm is applied to analyze the real-time data of construction projects, and combined with historical data and simulation information, potential risks and emergencies are identified, such as construction delays, equipment failures, accidental safety accidents, etc. The analysis results are converted into construction dynamic warning data, which includes potential risk points, emergency warning information, and risk impact areas during the construction process. According to the generated construction dynamic warning data, a detailed analysis is carried out on the affected construction stages in the project to identify the urgent material requirements generated due to the dynamic changes in construction. Combining construction progress, equipment status, material usage, etc., urgent material requirement data is generated, which includes the types, quantities, and urgency levels of materials that need to be purchased, delivered, or processed in a timely manner in case of emergencies. According to the urgent material requirement data, an analysis of the processing requirements for relevant materials is carried out to predict which materials need to be urgently processed or adjusted. For example, materials with special sizes, customized materials for rapid delivery, etc. Combining the processing requirements of urgent materials, their processing processes, cycles, and feasibility are analyzed to predict the production and delivery times of each urgent material. According to the processing requirements and urgency, the materials that need to be urgently processed are marked as the third type of materials on the basis of the original material markings. This marking reflects the processing urgency, processing requirements, and priorities of the materials. The materials that meet the conditions are marked as the third type to generate the third type of material marking data, which includes all the materials that need to be urgently processed or adjusted. According to the marked classification of materials, an associated storage management is carried out between the second type of material marking data (edge materials) and the third type of material marking data (urgent processing materials). Different storage strategies are formulated for different types of materials. For example, due to the urgent processing of the third type of materials, they need to be preferentially stored in locations that are easy to access and process; the second type of materials are stored and allocated according to the project needs. The storage information of all the third type of materials is summarized, including storage locations, storage conditions, material usage progress, etc., to generate the third type of material storage management data to ensure the traceability and efficient use of these materials. By combining the first type of material storage management data (basic materials), the second type of material storage management data (edge materials), and the third type of material storage management data (urgent processing materials), the entire material storage space is analyzed. According to the classification of materials, storage requirements, and material access frequencies, etc., the storage ranges of different materials are confirmed, and the priorities and management methods of material storage are determined. Based on the data confirmed for the storage ranges, a visualization tool is used to generate a material storage range distribution map. This map indicates the storage locations, access processes, and spatial optimization layouts of different types of materials. Applying BIM technology, GIS maps, and three-dimensional modeling tools, the storage ranges of materials are presented graphically to provide an intuitive management view to help the construction site staff optimize material management and storage operations.

[0112] Preferably, the associated storage management through the second type of material marking data and the third type of material marking data includes:

[0113] Confirm the storage location of the second type of material marking data to obtain the storage location data of the second type of material; confirm the construction warning location of the construction dynamic warning data according to the third type of material marking data to obtain the construction warning location data;

[0114] Connect the construction warning location data to generate warning location path data; calculate the interval distance of the storage location data of the second type of material through the warning location path data to generate construction warning interval distance data; average the distance of the third type of material marking data using the construction warning interval distance data to generate average distance data;

[0115] Analyze the material usage frequency of the third type of material marking data through the average distance data to generate material usage frequency data; associate the shortest distance storage path with the average distance data according to the material usage frequency data to generate the storage management data of the third type of material.

[0116] Preferably, the associated storage management through the second type of material marking data and the third type of material marking data includes:

[0117] Confirm the storage location of the second type of material marking data to obtain the storage location data of the second type of material; confirm the construction warning location of the construction dynamic warning data according to the third type of material marking data to obtain the construction warning location data;

[0118] Connect the construction warning location data to generate warning location path data; calculate the interval distance of the storage location data of the second type of material through the warning location path data to generate construction warning interval distance data; average the distance of the third type of material marking data using the construction warning interval distance data to generate average distance data;

[0119] Analyze the material usage frequency of the third type of material marking data through the average distance data to generate material usage frequency data; associate the shortest distance storage path with the average distance data according to the material usage frequency data to generate the storage management data of the third type of material.

[0120] In the embodiments of the present invention, the storage locations of all second-category materials (i.e., edge materials) are confirmed through the three-dimensional modeling data of the construction project and the second-category material marking data. The confirmation of the storage location can be carried out through data sources such as the material storage area map at the construction site and the material classification management system. The storage location of each material should include specific geographical coordinates, storage area numbers, material stacking methods, etc., to generate the second-category material storage location data, which provides a basis for subsequent management and scheduling. The third-category material marking data (i.e., emergency processing materials) is combined with the construction dynamic warning data to confirm the warning location at the construction site. The construction warning data includes emergencies occurring during the construction process (such as equipment failures, construction delays, etc.). According to the construction dynamic warning data, the specific occurrence locations of each warning event during the construction process are determined to obtain the construction warning location data. Based on the construction warning location data, a path connection algorithm (such as the shortest path algorithm) is used to connect each warning location according to the urgency and sequence of the construction process. The warning location path data generated at this time records the best passage path from one warning point to another. During the path generation process, factors such as obstacles, construction progress, and safety channels are considered to ensure that the warning path is feasible in the actual construction environment. Through the warning location path data and the second-category material storage location data, the interval distances between the warning locations and the storage locations of each material are calculated. Common spatial distance calculation methods such as Euclidean distance and Manhattan distance can be used. The output of this step is the construction warning interval distance data, which reflects the distance required from the warning event to the storage locations of each material. According to the construction warning interval distance data, the third-category material marking data is processed to calculate the mean distance of each emergency material. The mean distance is obtained by averaging the intervals between the warning location and the storage locations of all relevant emergency materials. According to the calculation results, the mean distance data is obtained, which reflects the average distance of each type of emergency material from the construction warning location to the storage location. According to factors such as the progress schedule of the construction project, construction requirements, and material consumption, a material usage frequency analysis is carried out on the third-category material marking data. The goal of the analysis is to determine which emergency materials have a higher usage frequency and which have a lower usage frequency during the construction process. According to the analysis results, the material usage frequency data is generated, which reflects the consumption frequency and usage situation of each material in the construction project. Using the material usage frequency data, the emergency materials with a high usage frequency are preferentially matched with the mean distance of the storage location. That is to say, the emergency materials with a high usage frequency will be preferentially stored in the area closer to the construction warning location. According to the shortest path principle, the storage path of the materials is optimized to ensure that the materials at the construction site can be retrieved in the shortest time to meet the emergency needs. Finally, combining the usage frequency and mean distance of the materials, the third-category material storage management data is generated, which includes the storage location, storage path, and usage priority of each emergency material, etc.

[0121] Preferably, step S4 includes the following steps:

[0122] Step S41: Locate the storage positions of the material storage range distribution map to generate material storage range position data; calculate the position of the center point of the range based on the material storage range position data to obtain the material storage range center point position data;

[0123] Step S42: Deploy sensors based on the material storage range center point position data to obtain sensor deployment data; construct a material storage sensing network for the material storage range distribution map through the sensor deployment data to generate a material storage sensing network;

[0124] Step S43: Use the material storage sensing network to perform intelligent material storage allocation for the first type of material marking data, the second type of material marking data, and the third type of material marking data to generate intelligent material storage allocation management data for implementing the material monitoring management operation at the construction site.

[0125] In the embodiments of the present invention, a material storage range distribution map is obtained from the three-dimensional modeling data of the construction project. This map will show the specific locations and distribution of material storage at the construction site. Based on this distribution map, the specific locations of each material storage area are located (including the geographical coordinates, identification numbers, storage specifications, etc. where the materials are stacked). Through spatial analysis of the distribution map, the material storage range location data is extracted, which covers information such as the physical locations and capacities of each storage area. Based on the material storage range location data, the center point calculation is carried out. The method is usually to calculate the geometric center or centroid of all storage areas to obtain the center point location data of the material storage range, that is, the center point of the entire material storage area. This center point can be used as a benchmark for material allocation and sensor deployment to ensure centralized management of network deployment. According to the center point location data of the material storage range, the optimal sensor deployment locations are determined. The deployment points should cover the key areas of the entire material storage area, including the edge and center locations, to ensure that all material storage units can be monitored. Different types of sensors (such as temperature and humidity sensors, weight sensors, RFID sensors, etc.) are deployed to monitor the storage conditions of materials and environmental changes. Information such as sensor locations, types, and installation methods will be summarized into sensor deployment data, which serves as the basis for network construction. Using the sensor deployment data, according to the distribution of the material storage area and the material monitoring requirements, a material storage sensing network is designed and constructed. This network should include the arrangement of various sensors, data transmission paths, cooperation and interconnection between nodes, etc. Through wireless communication, IoT protocols, etc., data transmission between each sensor and the central control system is realized. Ensure that all sensors can report data to the central system in real time. Through the material storage sensing network, combining the first type of material marking data (such as important materials), the second type of material marking data (such as edge materials), and the third type of material marking data (such as emergency materials), the real-time information of material storage is integrated. The environmental data, storage status, and material consumption provided by the sensors will be used as inputs. Intelligent algorithms (such as machine learning, optimization algorithms) are used to intelligently allocate materials. According to factors such as the storage status of materials, demand priorities, distances, and usage frequencies, the intelligent system determines the material allocation method. For example, emergency materials (the third type of materials) need to be preferentially allocated to the construction site, while other materials are reasonably scheduled according to needs. The algorithm also needs to consider information such as the expiration date and loss degree of materials to ensure the effectiveness of the inventory. According to the intelligent allocation results, intelligent material storage allocation management data is generated. This data records information such as the allocation plan, location, transportation path, and time of each type of material, providing timely material supply for the construction site. The system will monitor the material storage and allocation process in real time to ensure that materials are supplied according to the plan. The feedback data provided by the sensors will be used to adjust the storage and allocation strategies to cope with sudden changes on site.

Claims

1. A construction site material monitoring and management method based on BIM, characterized in that: The following steps are involved: Step S1: Acquire construction project drawings; extract drawing information from the construction project drawings to obtain construction project material information data and construction project structure data; perform three-dimensional modeling of the construction project on the construction project material information data and construction project structure data to generate three-dimensional modeling data of the construction project; Step S2: Acquire total construction material data; perform material information modeling on the total construction material data using BIM technology to generate total construction material modeling data; perform key material marking on the total construction material modeling data according to the three-dimensional modeling data of the construction project to generate first-category material marking data, and perform on-site storage management on the total construction material data through the first-category material marking data to generate first-category material storage management data; perform edge material marking on the total construction material modeling data according to the key material information data of the construction project to generate second-category material marking data, and perform regional storage management on the total construction material data through the second-category material marking data to generate second-category material storage management data; Step S3: marking the construction project 3D modeling data as emergency materials to generate third-category material marking data; and generating third-category material storage management data by associating the second-category material marking data with the third-category material marking data for storage management; The storage management range is confirmed by using the first-category material storage management data, the second-category material storage management data, and the third-category material storage management data, thereby obtaining a material storage range distribution map; step S3 includes the following steps: Step S31: Perform construction dynamic early warning on the three-dimensional modeling data of the construction project to generate construction dynamic early warning data; perform emergency material demand analysis on the three-dimensional modeling data of the construction project according to the construction dynamic early warning data to generate emergency material demand data; Step S32: performing an emergency material processing forecast on the second-category material marking data according to the emergency material demand data to generate emergency material processing forecast data; performing a third-category material marking on the second-category material marking data according to the emergency material processing forecast data to generate third-category material marking data; Step S33: performing associated storage management through the second-category material tag data and the third-category material tag data to generate third-category material storage management data; performing associated storage management through the second-category material tag data and the third-category material tag data includes: The storage location of the second-category material tag data is confirmed to obtain the storage location data of the second-category material; the construction dynamic warning data is confirmed to obtain the construction warning location data according to the third-category material tag data; The construction warning location data is connected with the warning path to generate the warning location path data; the interval distance of the second-category material storage location data is calculated by the warning location path data to generate the construction warning interval distance data; the distance of the third-category material mark data is averaged by using the construction warning interval distance data to generate the average distance data; The material usage frequency analysis is performed on the third-category material tag data through the mean distance data to generate the material usage frequency data; the shortest distance storage path association is performed on the mean distance data according to the material usage frequency data to generate the third-category material storage management data; Step S34: confirming the storage management range through the first-category material storage management data, the second-category material storage management data, and the third-category material storage management data, thereby obtaining a material storage range distribution map; Step S4: Calculate the storage range center point position of the material storage range distribution map to obtain the material storage range center point position data; construct a material storage sensor network based on the material storage range center point position data to generate a material storage sensor network; use the material storage sensor network to perform intelligent material storage allocation and generate intelligent material storage allocation management data to perform material monitoring and management operations on the construction site.

2. The construction site material monitoring and management method based on BIM according to claim 1 is characterized in that: Step S1 includes the following steps: Step S11: Obtain construction project drawings; Step S12: extracting construction project material information from the construction project drawings to obtain construction project material information data; performing construction project structure analysis on the construction project drawings according to the construction project material information data to generate construction project structure data; Step S13: Preprocessing the construction project material information data and the construction project structure data to generate standard construction project material information data and standard construction project structure data, wherein the data preprocessing includes data cleaning, data denoising, data missing value filling and data standardization; Step S14: Perform three-dimensional modeling of the construction project on the standard construction project material information data and the standard construction project structure data to generate three-dimensional modeling data of the construction project.

3. The construction site material monitoring and management method based on BIM according to claim 2 is characterized in that: Step S14 includes the following steps: Step S141: extracting material physical properties from the standard construction project material information data to obtain material physical property data; calculating the structural complexity of the standard construction project structure data to obtain the structural complexity data of the construction project; performing multi-scale feature decomposition on the standard construction project material information data according to the material physical property data and the structural complexity data of the construction project to generate multi-scale feature data of the construction project; Step S142: performing local geometric modeling on the multi-scale feature data of the construction project to generate local geometric model data; performing local feature fusion on the local geometric model data to generate global geometric modeling data; performing global consistency optimization on the global geometric modeling data to generate project global consistency model data; Step S143: simulate the virtual construction process of the project global consistency model data through a preset dynamic construction simulation engine to generate virtual construction model data of the construction project; render the virtual construction model data of the construction project to generate three-dimensional modeling data of the construction project.

4. The BIM-based construction site material monitoring and management method according to claim 3 is characterized in that: The virtual construction process simulation of the project's global consistency model data is performed through a preset dynamic construction simulation engine, including: Extract dynamic construction process parameters from the project's global consistency model data to generate a dynamic construction process data set; perform construction process logic analysis on the dynamic construction process data set to generate construction project logic process data; Use finite element dynamic simulation technology to simulate the dynamic mechanical response of the construction project logic process data and generate the dynamic mechanical response data of the construction project; Through the preset dynamic construction simulation engine, the dynamic mechanical response data of the construction project is used to perform virtual construction process simulation on the dynamic construction process data set to generate virtual construction model data of the construction project. The virtual construction process simulation includes key process operation simulation, equipment motion trajectory simulation and construction environment change simulation.

5. The method for monitoring and managing construction site materials based on BIM according to claim 1, characterized in that: Step S2 includes the following steps: Step S21: Obtaining total construction material data; Step S22: Use BIM technology to perform material information modeling on the total construction material data to generate total construction material modeling data; perform key material screening on the total construction material modeling data according to the three-dimensional modeling data of the construction project to generate key material information data of the construction project; Step S23: marking the total construction material data with the first-class material information data of the construction project to generate the first-class material marking data, and performing local storage management on the total construction material data with the first-class material marking data to generate the first-class material storage management data; Step S24: Perform marginal material screening on the total construction material modeling data according to the key material information data of the construction project to generate marginal material information data of the construction project, and mark the total construction material data as second-category materials through the marginal material information data of the construction project to generate second-category material marking data; perform regionalized storage management on the total construction material data through the second-category material marking data to generate second-category material storage management data.

6. The BIM-based construction site material monitoring and management method according to claim 5 is characterized in that: The key material screening of the total construction material modeling data based on the 3D modeling data of the construction project includes: Extract material geometric features and standard attributes from the total construction material modeling data to obtain material geometric feature data and material attribute data; perform multi-dimensional feature vectorization on the total construction material modeling data through the material geometric feature data and material attribute data to generate the total construction material geometric feature data; Perform dimensional geometry matching on the three-dimensional modeling data of the construction project and the geometric feature data of the total construction materials to generate preliminary candidate key material data; perform material processing requirement analysis on the preliminary candidate key material data to generate material processing requirement data; perform non-processing requirement material screening on the preliminary candidate key material data based on the material processing requirement data to exclude materials that do not require any processing or are not suitable for on-site processing, and obtain key material information data for the construction project.

7. The construction site material monitoring and management method based on BIM according to claim 1 is characterized in that: Step S4 includes the following steps: Step S41: locating the storage position of the material storage range distribution map to generate material storage range position data; calculating the range center point position according to the material storage range position data to obtain the material storage range center point position data; Step S42: Deploy sensors according to the location data of the center point of the material storage range to obtain sensor deployment data; construct a material storage sensor network for the material storage range distribution map through the sensor deployment data to generate a material storage sensor network; Step S43: Utilize the material storage sensor network to perform intelligent material storage allocation on the first-category material marking data, the second-category material marking data, and the third-category material marking data, and generate intelligent material storage allocation management data to execute material monitoring and management operations at the construction site.

8. A BIM-based construction site material monitoring and management system, characterized in that: Used to execute the BIM-based construction site material monitoring and management method as claimed in claim 1, the BIM-based construction site material monitoring and management system comprises: The project modeling module is used to obtain construction project drawings; extract drawing information from the construction project drawings to obtain construction project material information data and construction project structure data; perform three-dimensional construction project modeling on the construction project material information data and construction project structure data to generate three-dimensional construction project modeling data; The material storage module is used to obtain the total construction material data; use BIM technology to perform material information modeling on the total construction material data to generate the total construction material modeling data; perform key material marking on the total construction material modeling data according to the three-dimensional modeling data of the construction project to generate the first-class material marking data, and perform on-site storage management on the total construction material data through the first-class material marking data to generate the first-class material storage management data; perform edge material marking on the total construction material modeling data according to the key material information data of the construction project to generate the second-class material marking data, and perform regional storage management on the total construction material data through the second-class material marking data to generate the second-class material storage management data; The storage distribution module is used to mark the construction project 3D modeling data for emergency materials and generate the third-category material marking data; to perform associated storage management through the second-category material marking data and the third-category material marking data and generate the third-category material storage management data; to confirm the storage management scope through the first-category material storage management data, the second-category material storage management data and the third-category material storage management data, thereby obtaining a material storage scope distribution map; The management and monitoring module is used to calculate the storage range center point position of the material storage range distribution map to obtain the material storage range center point position data; construct the material storage sensor network based on the material storage range center point position data to generate the material storage sensor network; use the material storage sensor network to perform intelligent material storage allocation and generate intelligent material storage allocation management data to perform material monitoring and management operations on the construction site.

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