Construction site material monitoring management method and system based on BIM

Abstract

The invention relates to the technical field of material storage management, in particular to a BIM-based construction site material monitoring management method and system. The method comprises the following steps: obtaining a construction project drawing; performing drawing information extraction on the construction project drawing to obtain construction project material information data and construction project structure data; performing construction project three-dimensional modeling 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; and carrying out material information modeling on the total construction material data by using a BIM technology to generate total construction material modeling data. According to the invention, accurate three-dimensional modeling, intelligent marking, regionalized storage and real-time allocation of the construction site materials are realized through the BIM technology, and the accuracy of construction site material monitoring management and the emergency response real-time performance are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of material storage management, and in particular to a construction site material monitoring management method and system 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. This 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 it still failed to achieve real-time dynamic monitoring of material information. Entering the 21st century, the application of BIM technology has gradually become an innovative 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 each stage of the project. As an important part of the construction site, the application of BIM enables construction personnel to accurately predict material requirements based on real-time data and optimize material procurement, transportation, and storage processes. With the continuous advancement 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 material conditions at the construction site. The BIM platform integrates with these data to form an intelligent and automated material management system. However, the current traditional material management system is unable to accurately grasp the storage status of materials in real time, and the material marking and management methods are relatively extensive, which can easily lead to resource waste or mismatch. 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, which leads to low accuracy of material monitoring and management at the construction site and low real-time emergency response. Summary of the invention

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

[0004] To achieve the above purpose, a construction site material monitoring and management method based on BIM is provided, the method comprising the following steps: 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 for emergency materials to generate third-category material marking data; performing associated storage management through the second-category material marking data and the third-category material marking data to generate third-category material storage management data; 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.

[0005] The present invention ensures that the storage area of ​​materials is effectively managed by locating the material storage range distribution map and calculating the center point position of the storage range. 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 transportation distance. The location 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 location can be effectively monitored. This enables the material storage information of the construction site to be collected and fed back in real time, which is convenient for managers to grasp the dynamic changes of material storage. A material storage sensor network is constructed through sensor deployment data. The sensor network can monitor the storage conditions, inventory levels and usage frequency of various materials in real time, ensuring the accuracy and real-time management of materials at the construction site. Using the material storage sensor network to intelligently allocate different types of materials, not only can the storage location of the materials be dynamically adjusted according to actual needs, but also the material in and out of the warehouse process can be optimized. This helps to reduce the material handling time and reduce the scheduling delays caused by improper material storage. Through real-time material monitoring and management, the construction team can clearly understand the storage status and usage of various materials. When a certain type of material is about to run out or the inventory is abnormal, the system will issue an early warning to ensure uninterrupted material supply and prevent construction delays caused by material shortages. Through intelligent material storage and allocation management, the storage location and in-and-out plan can be dynamically adjusted according to the frequency and demand of material use. This can avoid waste caused by too much or too little material stacking, while avoiding over-purchasing or inventory backlogs, further reducing material management costs. Real-time monitoring and dynamic allocation of material storage make material scheduling more flexible. When changes occur at the construction site (such as sudden demand or construction schedule adjustments), the storage and allocation of materials can quickly adapt to changes to ensure that construction efficiency is not affected. Through the construction of a material storage sensor network, the safety of material storage can be monitored in real time, especially the storage status of hazardous or perishable materials. Sensors can detect anomalies in a timely manner and provide early warning signals, thereby reducing potential safety hazards in the material storage process. Once an abnormal situation is found in material storage (such as materials are about to run out or storage conditions are not met), the system can promptly remind construction personnel to take countermeasures. Through intelligent deployment and real-time monitoring, the emergency response capability of the construction site has been significantly improved, ensuring the smooth progress of the project. Therefore, the present invention uses BIM technology to achieve accurate three-dimensional modeling, intelligent marking, regional storage and real-time deployment of materials on the construction site, improving the accuracy of material monitoring and management on the construction site and the real-time emergency response.

[0006] Preferably, step S1 comprises 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.

[0007] The present invention helps to fully grasp the material requirements and structural characteristics of the construction project by extracting material information from the construction project drawings and analyzing structural data, 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, and ensure the accuracy and reliability of subsequent analysis and modeling. The three-dimensional modeling data of the construction project generated by step S14 presents complex drawings and materials and structural information in an intuitive three-dimensional form, which helps the construction team and related parties to understand the project layout and design details more intuitively. Combining construction material information and structural data with three-dimensional modeling not only improves the efficiency of information management, but also provides high-quality data support for cost estimation, schedule scheduling and risk analysis of construction projects. Through three-dimensional modeling data, the construction team can collaborate with designers, supply chains and regulatory agencies more efficiently, reduce misunderstandings and modifications caused by information asymmetry, and improve the overall coordination of construction projects. Standardized data and three-dimensional 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 the foundation for the digitization and intelligence of construction projects.

[0008] Preferably, step S14 comprises 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.

[0009] The present invention achieves a deep understanding of the material and structural information of the construction project by extracting the physical properties of the material and calculating the structural complexity (step S141), and generates high-dimensional feature data by 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 the structural details, but also improve the overall coordination of the model through global consistency optimization. This modeling method adapts to the modeling needs of complex structures and avoids data fragmentation or modeling distortion. Using the 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 and risk avoidance of the construction plan. This dynamic simulation provides a dynamic and forward-looking decision-making basis for the planning and execution of the construction project. Generating three-dimensional modeling data of the construction project by model rendering (step S143) provides an intuitive three-dimensional display form. High-quality three-dimensional models help to evaluate and present the construction plan and promote communication and collaboration among project participants. Virtual construction simulation combined with a global consistency model makes the construction plan more operational. The project team can use these data to verify the construction process, deduce the construction period and optimize the materials to further improve the construction efficiency. High-precision 3D modeling data can be used as the core input of the digital construction management system, supporting automated construction equipment scheduling, intelligent material distribution and real-time construction monitoring, providing a solid foundation for intelligent construction. Dynamic simulation and global optimization allow construction problems to be exposed and solved in advance in a virtual environment, reducing rework and resource waste, thereby reducing construction costs and risks. The modeling of highly complex structures and multi-type materials suitable for complex construction projects expands the adaptability and technical level of construction teams in different projects.

[0010] Preferably, simulating the virtual construction process of the project global consistency model data by a preset dynamic construction simulation engine includes: 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.

[0011] The present invention generates a dynamic construction process data set by comprehensively extracting key parameters from the global consistency model data, making the process planning more refined and scientific. Through logical analysis, the construction process is sorted out and optimized, process conflicts, logical errors or repeated operations are effectively avoided, and construction efficiency is improved. Finite element dynamic simulation technology is used to deeply analyze the dynamic behaviors such as stress distribution, displacement, vibration characteristics of each structural component during the construction process, identify potential risks in advance, and reduce the accident rate. The construction design is optimized through simulation results to improve the stability and safety of the construction area, especially when constructing in complex geological conditions or high-risk areas. The full-scale simulation of key process operations, equipment movement trajectories and construction environment changes makes the construction process visual and provides intuitive operation guidance and global cognition for the construction team. Through the simulation of construction environment changes, such as the dynamic influence of variables such as temperature, humidity, and wind speed, the real construction conditions are reproduced, which is convenient for formulating response strategies. By simulating equipment movement trajectories and key process operations, the construction path and process flow are optimized, resource waste and duplication of labor are reduced, and the construction period is shortened. Problems are discovered and solved in advance in a virtual environment to avoid major adjustments and rework during construction, thereby reducing overall construction costs. The virtual construction model provides clear shared data for construction teams, designers, and regulators, promoting efficient collaboration and information alignment. Based on dynamic mechanical response data and virtual process simulation results, management can quickly evaluate the feasibility of construction plans and make scientific decisions. It is suitable for highly complex structural projects, such as large bridges, super high-rise buildings, etc., to ensure the feasibility and efficiency of construction plans. Simulate various construction environment changes so that construction plans can be adjusted and optimized for different environmental conditions, especially in extreme climates or resource-constrained conditions. The generated virtual construction model data can be used as input for intelligent construction systems, providing data support for automated construction equipment, material management systems, and real-time monitoring of the construction process.

[0012] Preferably, step S2 comprises 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-class materials through the marginal material information data of the construction project to generate second-class material marking data; perform regionalized storage management on the total construction material data through the first-class material marking data to generate second-class material storage management data.

[0013] The present invention marks the total construction material data with the first-class materials through the key material information data of the construction project, ensuring the rapid identification and priority management of the core materials. The generated first-class material storage management data is helpful for the efficient on-site management of key materials. The marginal material screening and marking generates the second-class material storage management data, optimizes the material distribution through regional storage, and improves the access efficiency. The total construction material data is modeled by using BIM technology to generate structured total construction material modeling data, which provides data support for the subsequent screening of key materials and marginal materials. The material modeling data is analyzed in combination with the three-dimensional modeling data of the construction project to ensure that the material classification and management are highly consistent with the construction requirements and avoid excessive redundancy or missing. The on-site storage of key materials is realized through the first-class material marking data, the material scheduling time is reduced, and the logistics efficiency of the construction site is improved. The marginal materials are regionally classified and stored through the second-class material marking data, optimizing the space utilization rate and material management efficiency of the construction site. Accurately screen and mark materials to reduce unnecessary repeated purchases and material waste. Through material modeling and classification management, dynamic scheduling of construction resources is realized, and the resource utilization rate and cost-effectiveness of the construction process are improved. Through classification and regional 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 material modeling data, the accuracy and real-time nature of material information during the construction process are ensured. Through the combination of BIM technology and marking data, the material management process in complex construction environments is simplified, reducing the risk of material accumulation, omission or misuse. Regional storage management of marginal materials can reduce the risk of conflict in logistics scheduling at the construction site and improve management efficiency.

[0014] Preferably, screening key materials from the total construction material modeling data according to the three-dimensional 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; screen the preliminary candidate key material data for non-processing requirement materials based on the material processing requirement data to obtain key material information data for the construction project.

[0015] The present invention can fully understand the morphology and functional characteristics of each material by extracting the geometric characteristics and standard attributes of the material from the total construction material modeling data, and provide high-quality data support for subsequent screening. The geometric characteristics and attribute data of the material are vectorized to generate more structured material data, which is convenient for efficient geometric matching and screening. This process improves the accuracy of material screening and avoids the interference of irrelevant materials. By performing dimensional geometric matching on the three-dimensional modeling data of the construction project and the material geometric characteristic data, it is possible to accurately determine which materials meet the actual needs of the construction project, generate preliminary candidate key material data, and ensure that the screened materials can seamlessly connect with the project needs. Through material processing demand analysis and non-processing demand material screening, materials that do not meet the processing requirements are effectively eliminated, and finally key material information data that meets the construction requirements is obtained, thereby avoiding unnecessary material waste. Through the accurate screening of key materials, it is ensured that the construction project can reasonably allocate resources according to the actual needs, thereby reducing the situation of material accumulation or shortage, and improving the maximum efficiency of resource use. The screened key material information data makes material management more efficient, avoids repeated processing of irrelevant materials, simplifies the material storage and scheduling process, and reduces the complexity of management. By analyzing the processing requirements of materials, the process in the construction process can be optimized and adjusted to reduce delays caused by material processing problems. According to the actual changes in material demand and processing requirements, timely adjustments can be made during the project progress to avoid delays or cost increases caused by material problems during construction. By screening out materials that do not need to be processed, the purchase of materials that do not meet the requirements is reduced, and the cost of material procurement and storage is reduced. Accurate material selection and management not only ensures the smooth progress of construction, but also effectively reduces rework and waste caused by mismatched or unqualified materials, and optimizes the overall construction cost. Through accurate screening and matching of materials, the generated data can provide real-time support for the intelligent management system of the construction site and improve the automation level of the construction process.

[0016] Preferably, step S3 comprises 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; Step S34: Confirm 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.

[0017] The present invention can monitor the construction progress, environmental changes and potential risks in real time by performing construction dynamic early warning on the three-dimensional modeling data of the construction project. The generated construction dynamic early warning data provides timely warnings for the construction team, helps to identify and solve problems in the construction process in time, and reduces the possibility of safety accidents and construction delays. Performing emergency material demand analysis based on the construction dynamic early warning data is helpful to prepare and dispatch materials in advance when emergencies occur, so as to avoid the construction progress being affected by material shortages or delays. Performing emergency material processing forecasts on the second-class materials based on the emergency material demand data can accurately predict which materials need to be processed in a short period of time and ensure that they are produced on time. Through this process, the sudden material demand in the construction project can be quickly responded to, and the construction period delay caused by the lack of materials can be reduced. Through the application of the emergency material processing forecast data, the second-class materials are marked as the third-class materials to form a new material classification. This process ensures that the material marking at the construction site is more accurate and orderly, thereby improving the efficiency of material management. Through the associated storage management of the second-class material marking data and the third-class 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 excessive storage, reduce material waste, and improve the availability of materials. By integrating the storage management data of the first, second and third categories of materials, a material storage range distribution map is generated. This provides a clear material storage layout for the construction project, making the management of materials more systematic and visual. Construction personnel can intuitively understand the location and quantity of material storage, thereby improving the efficiency of material scheduling and distribution. The generated material storage range distribution map helps construction project managers understand the storage situation of materials in real time and make dynamic adjustments as needed. This function helps to optimize material circulation and reduce errors in material distribution, ensuring that the construction progress proceeds smoothly according to the predetermined plan. In the event of an emergency, the material storage and scheduling plan can be adjusted in time, quickly respond to changes in demand, improve the utilization efficiency of materials, and ensure the continuity of project construction. Through accurate material demand analysis and processing forecasting, excessive procurement and unnecessary material reserves are avoided, and material procurement and storage costs are reduced.

[0018] Preferably, the 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.

[0019] The present invention first confirms the storage location of each type of material by associating and storing the second type of material tag data and the third type of material tag data, which helps to reduce storage errors and ensure that the materials can be quickly dispatched to the required location. The construction warning position data is connected with the warning path to generate the warning position path data, which further optimizes the material access path and helps to accelerate the deployment and use of materials during the construction process. By analyzing the construction warning position path data, the interval distance between the material storage position and the warning path is calculated to generate the construction warning interval distance data. This helps the construction team to quickly understand the safety of material storage and the emergency response path in an emergency, and ensure that necessary emergency measures can be taken in the shortest time. By averaging the construction warning interval distance data to obtain the mean distance data, it is helpful to establish a reasonable use and dispatch distance between different materials, thereby ensuring the continuity and efficiency of material supply. At the same time, by analyzing the frequency of material use, the materials used with high frequency can be identified, so that the reserve and dispatch can be done in advance, and the response speed of the construction can be further improved. By comprehensively analyzing the mean distance data and the material use frequency data, the shortest distance storage path association is generated, which can greatly shorten the movement time of the material from the storage location to the use location. This reduces the cost of material handling at the construction site, improves construction efficiency, and avoids material allocation delays caused by distance issues. Based on the frequency of use 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 the cost of material procurement and storage can be further reduced. By analyzing the material usage frequency and mean distance, it is possible to more accurately predict which materials need to be reserved and scheduled first, ensuring that key materials can arrive at the required location on time during the construction process, avoiding material waste and unnecessary scheduling delays. Optimizing material storage paths and reducing unnecessary handling and adjustments can effectively improve material use efficiency, reduce manual intervention, ensure that project progress is not affected by material management, and thus improve the overall efficiency of construction projects. By connecting construction warning location data with paths, potential risk points in the construction process can be monitored in real time. Any dangers or warning situations generated in material scheduling can be identified and handled in advance to enhance construction safety. The optimization of material storage management data and warning path analysis can ensure that in the event of an emergency, the construction project can respond quickly and implement effective material scheduling to avoid affecting the project progress. By optimizing material storage management and path planning, unnecessary transportation and storage costs are reduced, the efficiency of material scheduling is improved, and the overall construction cost is reduced.

[0020] Preferably, step S4 comprises 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.

[0021] The present invention ensures that the storage area of ​​materials is effectively managed by locating the material storage range distribution map and calculating the center point position of the storage range. 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 transportation distance. The location 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. The sensor is deployed according to the center point position of the material storage range to ensure that each material storage location can be effectively monitored. This enables the material storage information of the construction site to be collected and fed back in real time, which is convenient for management personnel to grasp the dynamic changes of material storage. The material storage sensor network is constructed through sensor deployment data, which further improves the intelligent level of material storage. The sensor network can monitor the storage conditions, inventory levels and usage frequency of various materials in real time, ensuring the accuracy and real-time management of materials at the construction site. The material storage sensor network is used to intelligently allocate different types of materials, which can not only dynamically adjust the storage location of materials according to actual needs, but also optimize the material in and out of the warehouse process. This helps to reduce the material handling time and reduce the scheduling delay caused by improper material storage. Through real-time material monitoring and management, the construction team can clearly understand the storage status and usage of various materials. When a certain type of material is about to run out or the inventory is abnormal, the system will issue an early warning to ensure uninterrupted material supply and prevent construction delays caused by material shortages. Through intelligent material storage and allocation management, the storage location and in-and-out plan can be dynamically adjusted according to the frequency and demand of material use. This can avoid waste caused by too much or too little material stacking, while avoiding over-purchasing or inventory backlogs, further reducing material management costs. Real-time monitoring and dynamic allocation of material storage make material scheduling more flexible. When changes occur at the construction site (such as sudden demand or construction schedule adjustments), the storage and allocation of materials can quickly adapt to changes to ensure that construction efficiency is not affected. Through the construction of a material storage sensor network, the safety of material storage can be monitored in real time, especially the storage status of hazardous or perishable materials. Sensors can detect anomalies in a timely manner and provide early warning signals, thereby reducing potential safety hazards in the material storage process. Once an abnormal situation is found in material storage (such as materials are about to run out or storage conditions are not met), the system can promptly remind construction personnel to take countermeasures. Through intelligent deployment and real-time monitoring, the emergency response capability of the construction site has been significantly improved to ensure the smooth progress of the project. Through the material storage sensor network, various data on material storage and use can be fed back to the construction management system in real time. Through data analysis, managers can make more accurate decisions based on the real-time demand and storage status of materials, further improving the efficiency of construction management.

[0022] In this specification, a BIM-based construction site material monitoring and management system is provided, which is used to execute the above-mentioned BIM-based construction site material monitoring and management method. The BIM-based construction site material monitoring and management system includes: 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.

[0023] The beneficial effect of the present invention is that by extracting material information and structural data from construction project drawings, accurate basic data can be provided for construction site material management. Three-dimensional modeling visualizes the structure and material information of the construction project, making it easy to fully and intuitively understand the material requirements and configuration of the project, thereby providing strong support for subsequent management and scheduling. The total construction material data is modeled using BIM technology, and key materials are marked in combination with the project three-dimensional model to achieve on-site storage and regional storage management of materials. This can ensure the rationality and efficiency of material storage, reduce material waste and management difficulty, and improve the accuracy of material allocation. Marking emergency materials and associating them with regional storage management data can ensure that key materials can be quickly allocated in an emergency and avoid construction delays caused by improper material location. By comprehensively managing the storage range, the systematic and orderly storage of materials on the construction site can be ensured, and the emergency response capability of material management can be improved. Through the material storage range distribution map and center point calculation, the location and layout of material storage can be clarified, providing an accurate basis for the construction of a material storage sensor network. By using the sensor network for intelligent deployment, the storage status of materials can be monitored in real time, and dynamic scheduling can be performed according to demand, optimizing the efficiency of material use and reducing the material management cost and time waste at the construction site. Therefore, the present invention realizes accurate three-dimensional modeling, intelligent marking, regional storage and real-time deployment of materials at the construction site through BIM technology, thereby improving the accuracy of material monitoring and management at the construction site and the real-time emergency response. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the steps of a construction site material monitoring and management method based on BIM; Figure 2 for Figure 1 Detailed implementation steps of step S2 in the flowchart; Figure 3 for Figure 1 Detailed implementation steps of step S3 in FIG. The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0025] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0026] 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 figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying 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.

[0027] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. 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.

[0028] To achieve this, please refer to Figures 1 to 3 , a construction site material monitoring and management method based on BIM, the method comprising the following steps: 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 for emergency materials to generate third-category material marking data; performing associated storage management through the second-category material marking data and the third-category material marking data to generate third-category material storage management data; 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.

[0029] The present invention ensures that the storage area of ​​materials is effectively managed by locating the material storage range distribution map and calculating the center point position of the storage range. 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 transportation distance. The location 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. The sensor is deployed according to the center point position of the material storage range to ensure that each material storage location can be effectively monitored. This enables the material storage information of the construction site to be collected and fed back in real time, which is convenient for management personnel to grasp the dynamic changes of material storage. The material storage sensor network is constructed through sensor deployment data, which further improves the intelligent level of material storage. The sensor network can monitor the storage conditions, inventory levels and usage frequency of various materials in real time, ensuring the accuracy and real-time management of materials at the construction site. The material storage sensor network is used to intelligently allocate different types of materials, which can not only dynamically adjust the storage location of materials according to actual needs, but also optimize the material in and out of the warehouse process. This helps to reduce the material handling time and reduce the scheduling delay caused by improper material storage. Through real-time material monitoring and management, the construction team can clearly understand the storage status and usage of various materials. When a certain type of material is about to run out or the inventory is abnormal, the system will issue an early warning to ensure uninterrupted material supply and prevent construction delays caused by material shortages. Through intelligent material storage and allocation management, the storage location and in-and-out plan can be dynamically adjusted according to the frequency and demand of material use. This can avoid waste caused by too much or too little material stacking, while avoiding over-purchasing or inventory backlogs, further reducing material management costs. Real-time monitoring and dynamic allocation of material storage make material scheduling more flexible. When changes occur at the construction site (such as sudden demand or construction schedule adjustments), the storage and allocation of materials can quickly adapt to changes to ensure that construction efficiency is not affected. Through the construction of a material storage sensor network, the safety of material storage can be monitored in real time, especially the storage status of hazardous or perishable materials. Sensors can detect anomalies in a timely manner and provide early warning signals, thereby reducing potential safety hazards in the material storage process. Once an abnormal situation is found in material storage (such as materials are about to run out or storage conditions are not met), the system can promptly remind construction personnel to take countermeasures. Through intelligent deployment and real-time monitoring, the emergency response capability of the construction site has been significantly improved, ensuring the smooth progress of the project. Therefore, the present invention uses BIM technology to achieve accurate three-dimensional modeling, intelligent marking, regional storage and real-time deployment of materials on the construction site, improving the accuracy of material monitoring and management on the construction site and the real-time emergency response.

[0030] In the embodiment of the present invention, reference Figure 1FIG. 1 is a schematic diagram of a step flow of a construction site material monitoring and management method based on BIM of the present invention. In this example, the construction site material monitoring and management method based on BIM includes the following steps: 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; In an 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 are usually in electronic formats (such as PDF, DWG, DXF, etc.), and can also be obtained by scanning paper drawings. Ensure the integrity of the drawings, including different versions and detailed information of each construction stage. Classify and archive the drawings, and select relevant drawings according to the needs of the construction project, such as building structure drawings, civil construction drawings, electromechanical installation drawings, etc. Use drawing information extraction software or artificial intelligence technology (such as optical character recognition OCR, computer vision, deep learning, etc.) to extract key information from the drawings. Extract the specifications, quantity, model, material type, construction standards and other information of all building or construction materials, and need to identify the details of the materials from the annotations, tables or symbols in the drawings. Extract the size, proportion, component information, structural position, etc. of the building structure, including walls, beams, columns, foundations, etc. The extracted material information and structural information are stored in a standardized data format for subsequent processing. For example, material information can be stored in JSON, CSV format, and structural information can be stored as two-dimensional plane coordinate data, etc. Choose appropriate 3D modeling tools, such as BIM (Building Information Modeling), CAD (Computer-Aided Design) tools, or specialized 3D modeling software (such as Revit, AutoCAD, SketchUp, etc.). Import the material information data and structural data extracted from the drawings into the 3D modeling tool, and generate a 3D model of the construction project through data visualization and modeling functions. Generate corresponding building component or component models, such as walls, columns, doors and windows, based on the material specifications and size data. Create a 3D structural model of the building based on the structural drawing data, including beams, columns, floor slabs, foundations, etc. Start with simple floor plans and elevations, and gradually build a 3D space model. Gradually add details, such as building materials, facade treatment, pipeline layout, etc. Automatically or manually correct the size, position, and combination of structural elements through architectural design software. Integrate the various parts of the construction project (such as civil engineering, structure, electrical, HVAC, etc.) into a comprehensive 3D model. Ensure the spatial relationship and functional adaptation between the parts to avoid potential construction conflicts. Finally, the generated 3D modeling data of the construction project usually includes the model's geometric data, material data, component data, and related attribute information.

[0031] 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; In the embodiment of the present invention, all material information of the construction project is obtained, which generally includes building materials, structural parts, electrical equipment, pipelines, decorative materials, etc. Material data can be obtained from multiple sources, such as: supplier list: detailed product catalog from building material supplier, construction drawings: extract relevant material information through annotations and material lists in construction drawings, BIM model: extract material data from the BIM (Building Information Modeling) model of the construction project. All acquired material data are classified and sorted to ensure that the detailed information of each material is complete, including model, specification, quantity, material, supplier information, etc. Select appropriate BIM software, such as Revit, AutoCAD, Tekla Structures or other industry standard tools for modeling. Import the acquired material data into the BIM system, and perform systematic material information modeling according to different types of materials (such as building materials, electrical equipment, pipeline accessories, etc.). The material information modeling process includes: creating or importing a data model of a 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 material required for construction, and ensuring that the model is consistent with the three-dimensional modeling data of the project. Integrate and generate the total construction material modeling data in the BIM system, which contains the 3D modeling data and attribute information of all materials required for construction. Use the 3D modeling data of the construction project to analyze the importance, location and frequency of use of materials in construction and identify key materials. Use the analysis tools in the BIM platform to automatically identify materials that are critical to the quality, progress and safety of the project. Mark the materials according to the analysis results and identify the first category of materials (key materials), which play a core role in 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 material marking data, the first category of materials are stored and managed on-site. This means that these materials will be stored in a specific area of ​​the construction site to ensure efficient call during construction. Generate the first category of material storage management data, including information such as the storage location, storage method, and access process of the materials. In construction projects, in addition to key materials, there are some materials that belong to marginal materials (such as non-critical and auxiliary materials). These materials are also critical in the construction process, but their demand frequency and impact are low. Use the BIM system to further analyze the materials and identify the second category of materials, namely marginal materials. According to the analysis results, the second-class materials are marked and the second-class material marking data is generated for proper management and allocation during the construction process. According to the material marking data, especially the second-class material marking data, the materials are allocated to different areas of the construction site for storage management. This management method can improve the rationality of storage and the efficiency of material allocation. The second-class material storage management data is generated, including information such as the storage area, storage method, and access process of the materials.Deploy a management system at the construction site to automatically allocate materials through the data system to ensure that the second-class materials are supplied to each construction link in a timely and accurate manner. Integrate all material data (including first-class material marking data, second-class material marking data, and storage management data) to form a comprehensive material management database to support real-time monitoring and management of construction projects. Integrate data into the BIM system or ERP system to provide data support for subsequent material allocation, procurement, and distribution.

[0032] Step S3: marking the construction project 3D modeling data for emergency materials to generate third-category material marking data; performing associated storage management through the second-category material marking data and the third-category material marking data to generate third-category material storage management data; 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; In an embodiment of the present invention, materials that need to be urgently deployed are identified in the three-dimensional modeling data of the construction project. These materials are usually materials that need to be quickly provided due to emergencies (such as equipment failure, material shortage, etc.) during the construction process. According to the construction progress, material consumption rate and expected construction difficulty, evaluate which materials are emergency materials. The identification of emergency materials can be based on the following conditions: if the lack or delay of certain materials will seriously affect the construction progress, based on the material inventory management system, predict that the materials will be in short supply and issue an early warning, and the supply of certain key equipment or materials is not timely, resulting in construction suspension. All emergency materials are marked to generate third-class material marking data. The emergency material marking data includes information such as the ID, type, urgency, and expected arrival time of the material. 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 location and demand through the system. The second-class material marking data (marginal materials) is associated with the third-class material marking data (emergency materials). By analyzing factors such as the storage requirements, storage location, and frequency of use of materials, their relationship is determined. For example, some materials are both marginal materials and emergency materials (such as easily consumable auxiliary materials or small equipment), and their storage management needs to be optimized. Emergency materials (third-class materials) usually need to occupy a priority position in the material warehouse or storage area. According to the urgency of the materials, adjust the spatial planning of the storage area so that emergency materials and marginal materials share the storage area, but emergency materials should have a faster access process. Generate third-class material storage management data, including information such as the storage location of the materials, emergency processing procedures, and allocation mechanisms. In storage management, give priority to the extraction and distribution channels of emergency materials to ensure that material needs can be responded to in a timely manner during the construction process. Integrate the first-class material storage management data (critical material storage), the second-class material storage management data (marginal material storage), and the third-class material storage management data (emergency material storage). After integration, the data includes the storage location, storage area size, storage method, access priority, etc. of each type of material. Based on the above integrated data, analyze the storage requirements of each material category and confirm the distribution of storage areas. Determine the storage scope of each type of material on the construction site. Critical materials are usually located close to the construction operation area, marginal materials can be stored in a slightly farther area, and urgent materials should be placed in a quick access location. Use visualization tools (such as the space planning module in the BIM system or GIS software) to generate a material storage range distribution map. The map can show the specific storage areas of different material categories at the construction site, the area of ​​each area, the storage method, etc. The storage range distribution map can help project managers, warehouse managers, 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 materials will change, so the material storage range distribution map needs to be updated regularly.Track construction progress in real time and automatically update storage data through material management systems (such as ERP or BIM platforms) to ensure that the storage range of each type of material always meets actual needs. Based on the material storage range distribution map, combined with real-time sensor data, RFID tags or material management systems, materials monitoring and scheduling at the construction site can be carried out. Through the material storage range distribution map, you can quickly determine which type of material supply chain has bottlenecks and make timely adjustments.

[0033] 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.

[0034] In the embodiment of the present invention, the material storage range distribution map generated based on step S3 includes information such as material storage areas, storage categories of each area, and 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 first-class materials, second-class materials, and third-class materials). The geometric center point is calculated for each material storage area in the material storage range distribution map. The geometric center point refers to the center of gravity position of each material storage area, which is usually calculated in the following way: each material storage area is regarded as a polygon, and the center of mass is calculated using its vertex coordinates, or the weighted center point of each area is calculated according to the area size of different material storage areas. After calculating the center point of each storage area, the location data of the center point of the material storage range is obtained, wherein each center point corresponds to a specific material storage area. According to the actual needs of the construction site and the storage characteristics of the material, select the appropriate sensor type. For example: the temperature and humidity sensor is used to monitor the temperature and humidity of the material in the storage environment, especially for materials that are sensitive to temperature and humidity (such as wood, chemicals, etc.). Position sensors (such as RFID, barcode scanners) are used to track the location of materials in real time to ensure the accuracy of material access. Weight sensors are used to monitor the inventory of materials and provide real-time feedback on the use 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 based on the location data of the center point of each material storage range. The layout 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 materials in all storage areas are monitored by sensors. Integrate the data of each sensor into a central monitoring system (for example, based on the 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 standardized communication protocols to ensure the real-time and accuracy of the information flow. Through the deployed sensor network, the storage status data of the material (such as temperature and humidity, inventory, location, etc.) is collected in real time. The collected data is processed and analyzed through the cloud platform or local server to provide a basis for intelligent allocation. Based on the data of the material storage sensor network, an intelligent material storage and allocation system is designed. The system can automatically adjust the storage location, access order and priority of materials according to 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 time during the construction process. Adjust the storage location based on the frequency of material use so that the 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. Based on 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 dispatch management data includes: the recommended storage area for each type of material, the priority and order of accessing materials, and the planning of material transportation routes (especially in large-scale construction projects, the transportation route of materials from the warehouse to the construction site needs to be reasonably planned). Generate intelligent material storage and dispatch management data.

[0035] Preferably, step S1 comprises 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.

[0036] In an embodiment of the present invention, by digital scanning, photography or direct acquisition of construction project drawings in CAD format, the drawing information is ensured to be complete, covering all building, structure and facility related contents. Image processing technology or CAD file parsing tools are used to automatically extract material information in the drawings. Including wall materials, floor materials, door and window materials, etc., to generate construction project material information data. In the extraction process, standardized material coding and database information are combined to ensure accuracy. This step includes identifying drawing annotations, symbols and dimension data. The extracted material information is analyzed to identify key structural parts and generate construction project structural data, including structural type, size, load-bearing capacity, etc. Data cleaning technology is used to process construction project material information data and structural data to remove redundant or erroneous data information. Denoising algorithms such as Kalman filtering and local regression are used to reduce the errors caused by noise in the drawings. Missing values ​​can be filled by interpolation methods based on adjacent data or machine learning methods. All data are standardized so that different types of data (such as size units, material specifications) are converted into a unified standard format for subsequent analysis and modeling. Based on the standardized material information and structural data of the construction project, CAD software or building information modeling (BIM) tools are used for 3D modeling. Different building materials and structural elements are mapped into 3D space to create each component of the model, such as walls, floors, doors and windows, and adjust their position, size and shape according to actual construction needs. Finally, 3D modeling data of the construction project is generated, including structural levels, decorative details, material textures, etc., to ensure the accuracy and operability of the model.

[0037] Preferably, step S14 comprises 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.

[0038] In an embodiment of the present invention, physical property data of each building material, including density, elastic modulus, thermal conductivity, compressive strength, etc., are extracted through a material database, literature or standard test method. Combined with the material information data in the construction project drawings, the physical properties of the relevant materials are automatically matched and extracted through an algorithm to generate material physical property data. The structural data of the construction project is analyzed, and the structural complexity of the project is calculated using a structural complexity calculation method, such as graph theory analysis or finite element analysis. The structural complexity calculation 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 reflects 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, the standard construction project material information data is subjected to multi-scale feature decomposition. The decomposition process decomposes the data into features at multiple scales through a multi-scale algorithm (such as wavelet transform, multi-resolution analysis, etc.), generates multi-scale feature data of the construction project, and facilitates subsequent local and global modeling. Based on the multi-scale feature data of the construction project, a three-dimensional modeling algorithm, such as finite element modeling or mesh-based modeling technology, is used 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 floor slabs of the building, generating local geometric model data that reflect the specific details of the building. The data of multiple local geometric models are integrated, and the connection and support relationships of different regions are comprehensively considered. The features are integrated through algorithms to generate global geometric modeling data. This step ensures the consistency of local modeling information on a global scale, so that different modules can be seamlessly connected. The generated global geometric modeling data is optimized for consistency to ensure the coordination and consistency of structure and function. Global optimization algorithms, such as the minimum energy principle and constraint optimization method, are used to adjust the contact relationship and stress distribution between local geometric models, thereby generating a stable and operational global consistency model data for the project. The preset dynamic construction simulation engine is used to perform virtual construction simulation on the global consistency model data of the project. The simulation process includes various stages of construction, such as foundation construction, structure construction, facility installation, etc., and virtual construction model data of the construction project is generated by considering different processes, resource allocation and time schedule. Based on the virtual construction model, model rendering is performed to present the real effect of the project construction, including material texture, light and shadow effects, etc., through three-dimensional rendering technology. The generated 3D modeling data of the construction project can not only be used for construction rehearsal, but also for collaborative design with all parties involved in the project, progress display, etc.

[0039] Preferably, simulating the virtual construction process of the project global consistency model data by a preset dynamic construction simulation engine includes: 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.

[0040] In the embodiment of the present invention, based on the global consistency model data of the project, various process parameters involved in the construction process are first extracted, including construction procedures, time cycles, required materials, number of workers, construction equipment and its configuration, etc. Automated tools (such as BIM software, data acquisition system, etc.) are used to interpret the construction drawings and project requirements, and specific construction steps and process details are extracted. The generated dynamic construction process data set contains detailed process parameter information for each construction stage, such as the use time of different materials, the order and dependency of different construction links, and operating conditions. Using the process data set of the construction project, a detailed logical analysis of the construction process is performed through a logical analysis algorithm (such as Petri net, task dependency analysis, etc.) to ensure that each construction link can be coordinated with each other in time and space to avoid construction conflicts. The order of construction procedures, resource allocation, time dependency and other factors are derived to ensure the optimal configuration and scheduling of resources during the construction process. The generated construction project logic process data contains the sequence of each process in the construction process, resource sharing and dependency between processes, and finally forms a complete set of construction processes and schedules. Finite element analysis (FEA) technology is used to simulate the dynamic mechanical response of the construction project logic process data. According to the structural design and construction process of the project, the mechanical response of each process to the structure during the construction process is simulated, including load distribution, stress change, vibration propagation, material deformation, etc. Through simulation calculation, the dynamic mechanical response data of the construction project is obtained. The data includes the mechanical changes and reactions caused to the structure during the implementation of different processes, which helps to evaluate the structural safety, stability and potential problems in the construction process. Using the dynamic mechanical response data of the construction project, the dynamic construction process data set is simulated by the preset dynamic construction simulation engine. The virtual simulation includes the following aspects: Simulate the operation of each key process 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 dynamic simulation of construction equipment (such as cranes, excavators, cranes, etc.), the movement trajectory, working range and collaborative working mode of the equipment with other equipment and personnel are displayed. Simulate the impact of changes in the construction environment (such as weather, temperature, light and other external factors) on the construction process, taking into account the impact of environmental changes on construction safety and progress. Combined with various 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 construction. This data is used to provide a highly restored construction scene for construction personnel, designers and project managers, helping to identify potential problems before project implementation and optimize construction plans.

[0041] As an example of the present invention, refer to Figure 2 As shown, in this example, step S2 includes: 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-class materials through the marginal material information data of the construction project to generate second-class material marking data; perform regionalized storage management on the total construction material data through the first-class material marking data to generate second-class material storage management data.

[0042] In an embodiment of the present invention, by collecting all the material information required in the construction process, including building materials, equipment, tools and other consumables, etc. Material data can be obtained through purchase lists, supplier data, construction budgets and plans, etc. The data should include material names, specifications, quantities, supplier information, unit prices, etc. The total construction material data obtained constitutes the basic information library of materials, which is the basis for subsequent processing. The total construction material data is modeled using BIM technology (building information model). In the BIM platform, based on the three-dimensional model of the construction project, the physical location, use and quantity of each material in the construction are constructed to generate the total construction material modeling data. This modeling process combines 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, the key materials involved in the project are identified. These materials are usually key structural components or equipment in the construction, which directly affect the progress and quality of the project. By analyzing the material requirements, construction nodes, criticality of materials and supply chain factors in the construction process, the key material information data of the construction project is screened out to prepare for subsequent material management and deployment. According to the key material information data of the construction project, the materials are classified and marked as first-class materials. This type of material is usually the core material in the construction, with high priority, importance or special requirements (such as long-term delivery, special equipment, etc.). The marked materials will form the first-class material marking data, which contains all the information of the first-class materials (such as material type, quantity, storage location, etc.). Through the first-class material marking data, these materials are stored and managed on-site. This process includes the reasonable allocation of material storage locations, the formulation of storage plans and lists to ensure that these key materials can be obtained in time during the construction process. Generate the first-class material storage management data, which helps construction management personnel track the storage and use of these materials in real time to ensure 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-class materials, they are also crucial to the smooth progress of the construction. These materials are usually called "marginal materials", which are some auxiliary equipment, decorative materials or some low-frequency core materials. According to the key material information data of the construction project, these marginal materials are screened to generate the marginal material information data of the construction project. The marginal material screening basis includes the frequency of use, importance and related construction process requirements of the materials. Based on the information of the filtered marginal materials, these materials are marked as second-class materials. The second-class materials have a lower priority, but they are still necessary in construction. Generate the marking data of the second-class materials, which will reflect the specific requirements, quantity and management methods of the materials. Based on the marking data of the first-class materials, the first-class materials are regionalized for storage management, and the materials are allocated to different areas according to their frequency of use, type and access difficulty.For the second type of materials, appropriate storage arrangements are made according to their frequency of use and importance in construction to ensure that these materials can be easily retrieved when needed. The storage management data of the second type of materials is generated. Through this data, material management personnel can efficiently manage the storage and retrieval of materials and avoid unnecessary material scheduling delays.

[0043] Preferably, screening key materials from the total construction material modeling data according to the three-dimensional 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; screen the preliminary candidate key material data for non-processing requirement materials based on the material processing requirement data to obtain key material information data for the construction project.

[0044] In an embodiment of the present invention, the geometric feature data of each material is extracted by analyzing the total construction material modeling data. These geometric features may include the size, shape, structural complexity, etc. of the material. For example, the length, width, height, thickness, shape (such as rectangle, circle, curve, etc.), surface treatment and other geometric information of the building components need to be extracted and recorded. In addition to the geometric features, the standard attribute data of the material 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 total construction 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 a multidimensional feature vector. This process requires the material's geometric and attribute data to be standardized and normalized to form a multidimensional vector suitable for mathematical modeling and analysis. After vectorization, each material will have a multidimensional 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 geometric characteristic data of the total construction materials are obtained, which includes not only the physical properties of the materials, but also their potential functions and values ​​in construction. The dimensional geometry matching of the construction project 3D modeling data and the geometric characteristic data of the total construction materials is performed. At this stage, the required material size and geometric shape in the construction project are matched with the materials in the total construction material library through the algorithm. This matching can be performed by calculating the similarity of geometric shapes, size fit, etc. The matching results will generate preliminary candidate key material data, which are 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 content of the analysis includes whether the material needs secondary processing, whether it needs special treatment, processing process requirements, technical requirements, processing cycle, etc. This analysis is usually based on factors such as the type of material, purpose and construction environment, and evaluates the processing complexity and difficulty of the material. After analysis, the 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 need 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 materials that have little impact on the progress or quality of the construction project, ensuring that the key materials finally screened out can support the construction needs 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, key material information data for the construction project will be obtained. These data reflect the important materials in the construction project, covering key contents such as their geometric characteristics, standard properties, and processing requirements, providing a basis for the formulation of material procurement, logistics, and construction plans.

[0045] As an example of the present invention, refer to Figure 3 As shown, in this example, step S3 includes: 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; Step S34: Confirm 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.

[0046] In the embodiment of the present invention, by real-time monitoring and dynamic analysis of the three-dimensional modeling data of the construction project, data of the construction site is obtained through data acquisition equipment, sensors, etc. based on information such as construction progress, changes in the construction environment, and personnel flow. The real-time data of the construction project is analyzed by a dynamic early warning algorithm, and historical data and simulation information are combined to identify potential risks and emergencies, such as construction delays, equipment failures, and accidental safety accidents. The analysis results are converted into construction dynamic early warning data, which includes potential risk points, emergency early warning information, and risk impact areas during the construction process. According to the generated construction dynamic early warning data, the construction phases affected in the project are analyzed in detail to identify the emergency material requirements caused by dynamic changes in construction. Combined with the construction progress, equipment status, material usage, etc., emergency material demand data is generated, which includes the types, quantities, and urgency of materials that need to be purchased, distributed, or processed in a timely manner in an emergency. According to the emergency material demand data, the processing demand analysis of the relevant materials is performed to predict which materials need to be urgently processed or adjusted. For example, materials of certain special sizes, customized materials that are delivered quickly, etc. Combined with the processing requirements of emergency materials, their processing technology, cycle, and feasibility are analyzed to predict the production and delivery time of each emergency material. According to the processing requirements and urgency, the materials that need to be processed urgently are marked as third-class materials on the basis of the original material markings. The marking reflects the processing urgency, processing requirements and priority of the materials. The qualified materials are marked as third-class materials, and the third-class material marking data is generated, which contains all the materials that need to be processed or adjusted urgently. According to the marking classification of the materials, the associated storage management between the second-class material marking data (marginal materials) and the third-class material marking data (urgent processing materials) is carried out. Different storage strategies are formulated for different categories of materials. For example, third-class materials need to be stored in a location that is easy to access and handle due to the urgency of processing; second-class materials are stored and deployed according to project needs. The storage information of all third-class materials is summarized, including storage location, storage conditions, material use progress, etc., to generate third-class material storage management data to ensure the traceability and efficient use of these materials. By combining the first-class material storage management data (basic materials), the second-class material storage management data (marginal materials) and the third-class material storage management data (urgent processing materials), the entire material storage space is analyzed. According to the material classification, storage requirements, material access frequency, etc., the storage range of different materials is confirmed, and the priority and management method of material storage are determined. Based on the data confirmed by the storage range, a material storage range distribution map is generated using visualization tools. The map shows the storage location, access process, and space optimization layout of different categories of materials. Using BIM technology, GIS maps, and 3D modeling tools, the storage range of materials is presented graphically, providing an intuitive management view to help construction site staff optimize material management and storage operations.

[0047] Preferably, the 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.

[0048] Preferably, the 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.

[0049] In an embodiment of the present invention, the storage location of all second-class materials is confirmed by the three-dimensional modeling data of the construction project and the second-class material marking data (i.e., edge materials). The storage location confirmation can be performed through data sources such as the material storage area map of the construction site and the material classification management system. The storage location of each material should include specific geographical coordinates, storage area number, material stacking method and other information to generate the second-class material storage location data, which provides a basis for subsequent management and scheduling. The third-class material marking data (i.e., emergency processing materials) is combined with the construction dynamic warning data to confirm the warning location of the construction site. The construction warning data includes emergency situations that occur during the construction process (such as equipment failure, construction delays, etc.). According to the construction dynamic warning data, the specific occurrence location of each warning event during the construction process is 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 order of the construction process. The warning location path data generated at this time records the best travel path from one warning point to another. During the path generation process, factors such as obstacles, construction progress, and safe passages are considered to ensure that the warning path is feasible in the actual construction environment. The distance between the warning location and the storage location of each material is calculated by using the warning location path data and the storage location data of the second type of materials. 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 to reach each material storage location from the warning event. According to the construction warning interval distance data, the third type of material tag 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 from the construction warning location to the storage location of each type of emergency material. According to the construction project schedule, construction requirements, material consumption and other factors, the third type of material tag data is analyzed for material usage frequency. The goal of the analysis is to determine which emergency materials are used more frequently and which are less frequently during the construction process. According to the analysis results, material usage frequency data is generated, which reflects the consumption frequency and usage of each material in the construction project. Using the material usage frequency data, emergency materials with high usage frequency are preferentially matched with the mean distance of the storage location. That is to say, frequently used emergency materials will be stored preferentially in areas close to the construction warning location. According to the shortest path principle, the storage path of materials is optimized to ensure that materials at the construction site can be retrieved in the shortest time to meet emergency needs. Finally, the third type of material storage management data is generated by combining the material usage frequency and mean distance. This data contains information such as the storage location, storage path, and usage priority of each emergency material.

[0050] Preferably, step S4 comprises 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.

[0051] In an embodiment 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 location and distribution of material storage at the construction site. Based on the distribution map, the specific location of each material storage area (including the geographical coordinates, identification number, storage specifications, etc. of the material stacking) is located. By performing spatial analysis on the distribution map, the material storage range location data is extracted, and the data covers the physical location, capacity and other information of each storage area. Based on the material storage range location data, the center point is calculated. The method is usually to calculate the geometric center or center of gravity of all storage areas to obtain the material storage range center point location data, that is, the center point of the entire material storage area. The center point can be used as a benchmark for material allocation and sensor deployment to ensure centralized management of network deployment. According to the material storage range center point location data, the optimal sensor deployment location is determined. The deployment point should cover the key areas of the entire material storage area, including the edge and center positions, to ensure that all material storage units can be monitored. Deploy different types of sensors (such as temperature and humidity sensors, weight sensors, RFID sensors, etc.) to monitor the storage status and environmental changes of materials. Information such as sensor location, type, and installation method will be summarized into sensor deployment data, which will serve as the basis for network construction. Using sensor deployment data, design and build a material storage sensor network based on the distribution of material storage areas and material monitoring needs. The network should include the layout of various sensors, data transmission paths, collaboration and interconnection between nodes, etc. Data transmission between each sensor and the central control system is realized through wireless communication, IoT protocols, etc. Ensure that all sensors can report data to the central system in real time. Through the material storage sensor network, the real-time information of material storage is integrated by combining the first-class material tag data (such as important materials), the second-class material tag data (such as edge materials), and the third-class material tag data (such as emergency materials). The environmental data, storage status, and material consumption provided by the sensor will be used as input. Intelligent algorithms (such as machine learning and optimization algorithms) are used to intelligently allocate materials. Based on factors such as the storage status, demand priority, distance, and frequency of use of materials, the intelligent system determines the allocation method of materials. For example, emergency materials (third-class materials) need to be allocated to the construction site first, while other materials are reasonably dispatched according to needs. The algorithm also needs to consider information such as the expiration date and degree of loss of materials to ensure the effectiveness of inventory. Based on the results of intelligent allocation, intelligent material storage and allocation management data is generated. This data records the allocation plan, location, transportation route, time and other information of each type of material to provide timely material supply for the construction site. The system will monitor the material storage and allocation process in real time to ensure that the materials are supplied as planned. The feedback data provided by the sensor will be used to adjust the storage and allocation strategy 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 through the storage management data of the first-category material, the storage management data of the second-category material and the storage management data of the third-category material, 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-class materials through the marginal material information data of the construction project to generate second-class material marking data; perform regionalized storage management on the total construction material data through the first-class material marking data to generate second-class 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; screen the preliminary candidate key material data for non-processing requirement materials based on the material processing requirement data to obtain key material information data for the construction project.

7. The BIM-based construction site material monitoring and management method according to claim 1, characterized in that: 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; Step S34: Confirm 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.

8. The BIM-based construction site material monitoring and management method according to claim 7 is characterized in that: The associated storage management through the second-class material tag data and the third-class 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.

9. The method for monitoring and managing construction site materials based on BIM according to claim 1, 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.

10. 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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