BIM-based engineering data management method and system

Abstract

This invention discloses a BIM-based engineering data management method and system, relating to the technical field of engineering management. The label and voucher module and the data information collection module enable real-time recording and monitoring of building materials entering and leaving the warehouse, their placement status, and damage conditions. This helps managers understand the quantity and status of building materials in a timely manner, and reduces damage by monitoring the placement and damage status of materials. The verification module checks the remaining quantity Sv and the damage quantity Pz of building materials to generate the usage quantity Ss, and analyzes the usage quantity Ss to determine whether a purchase order needs to be issued, avoiding overstocking or shortages and improving inventory management efficiency. The engineering warehouse analysis module uses feature extraction and machine learning calculations to obtain the stacking stability factor Djyz, the disorder coefficient Hx, and the damage status coefficient Pzxs, and calculates the rectification evaluation index Zgzs, which can optimize the stacking and path planning of building materials.

Description

Technical Field

[0001] This invention relates to the technical field of engineering management, specifically to a BIM-based engineering data management method and system. Background Technology

[0002] BIM technology is widely used in the fields of architecture and engineering. BIM can be used not only for architectural design and model building, but also for managing various data in the project, including information, quantity and location of building materials. Through digital modeling and information management, it improves the efficiency of project design, construction and management, and realizes data management and collaboration throughout the entire life cycle.

[0003] However, the current system may have some shortcomings or deficiencies. For example, due to the daily issuance and receipt of various building materials in the factory warehouse, some building materials are partially issued, used, and then left with a small portion unused, which will then be put back into the warehouse. During this process, the frequent issuance and receipt of building materials, and even their stacking in the warehouse, may cause damage to the building materials. Furthermore, the frequent issuance and receipt of building materials may also cause changes in their original location. Over time, this can lead to chaos in the entire factory warehouse, affecting not only work efficiency but also potentially wasting funds. Therefore, the system needs continuous optimization and improvement to meet the needs of project management and improve management efficiency. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a BIM-based engineering data management method and system, which solves the problems mentioned in the background.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a BIM-based engineering data management system, comprising a label certificate module, a data information collection module, a verification module, an engineering plant database analysis module, and a management module; The tag certificate module is used to pre-establish a BIM building information model, and to perform RFID tag marking operations when building materials enter the factory warehouse, and to record the quantity status of building materials entering and leaving the warehouse in real time. The data information acquisition module is used to monitor and record the relevant placement status data of various types of building materials in the factory warehouse, and to identify the location of building materials based on the quantity status of building materials entering and leaving the warehouse, and to obtain the relevant mixed data information of various types of building materials. At the same time, when conducting information inventory of the factory warehouse, it monitors and locks the relevant damage data information of building materials and establishes a data database. The verification module is used to check the remaining quantity Sv of the corresponding building materials when inventorying the factory warehouse, based on the quantity status of building materials entering and leaving the warehouse, and to count the damage quantity Pz of the corresponding building materials, so as to generate the usage quantity Ss. If it does not exceed the progress threshold w, a purchase instruction is sent out. The engineering plant database analysis module is used to extract features from relevant data information in the data database to obtain the base area Jcmj, tilt Qxd, error Ccz, deformation ratio Xbzb, and fracture length Dlsc. It also uses machine learning to calculate and obtain the stacking stability factor Djyz, disorder coefficient Hx, and damage state coefficient Pzxs. By associating the disorder coefficient Hx and the damage state coefficient Pzxs, and after linear normalization, the rectification evaluation index Zgzs is obtained. The management module is used to pre-set the evaluation threshold Q and compare it with the rectification evaluation index Zgzs to evaluate the relocation plan of building material routes in the engineering plant warehouse.

[0006] Preferably, the label credential module includes a model building unit and a label setting unit; The model building unit is used to collect and record basic information of the building project, including design drawings, technical specifications, and material lists; and to create the framework of the building model in BIM software, including the structure of building components and spatial layout. At the same time, based on the design drawings, building components are set in the building model, and RFID tag information is added to the building model.

[0007] The tag setting unit is used to pre-encode and set RFID tags, print the tags using an RFID tag printer and attach them to building materials, and record the quantity and time of building materials entering and leaving the warehouse in real time. It also performs statistics and analysis on the quantity of building materials entering and leaving the warehouse, generates charts and displays them in a visual form, and monitors and identifies building material tags in real time through RFID reading and writing devices. It also monitors abnormal situations during the process of building materials entering and leaving the warehouse, including quantity mismatch and tag damage. At this time, an alarm will be issued and recorded.

[0008] Preferably, the data information acquisition module includes a first inventory unit, a second inventory unit, and a third inventory unit; The first inventory unit is used to inventory and record the relevant placement status data of various types of building materials in the factory warehouse. The relevant placement status data includes the number of stacking layers Dcz, the base area Jcmj, the stacking height Dcgd, and the inclination Qxd of the building materials. The second inventory unit is used to inventory and record the relevant mixed data information of various types of building materials in the factory warehouse. The relevant mixed data information includes deviation spacing Pjj, number of scattered points Lsd, error amount Ccz, and duration of disordered placement. The third inventory unit is used to monitor and lock relevant damage data information of building materials, including fracture length Dlsc, loading rate Zsz, and deformation ratio Xbzb.

[0009] Preferably, the verification module includes a preliminary inventory analysis unit and a comparison unit; The preliminary inventory analysis unit is used to generate the usage quantity Ss based on the remaining quantity Sv and the damage quantity Pz of the corresponding building materials in the factory warehouse. The usage quantity Ss is obtained by the following formula: ; The comparison unit is used to pre-set the progress threshold w and compare it with the usage quantity Ss to determine whether the current corresponding building materials are in normal volume. If the quantity used Ss is greater than or equal to the progress threshold w, it means that the current building materials are at a normal level, and no additional procurement instructions will be sent out temporarily. If the quantity used Ss is less than the progress threshold w, it indicates that the corresponding building materials are not in normal quantity, and a procurement instruction will be sent out.

[0010] Preferably, the engineering plant warehouse analysis module includes a plant warehouse status analysis unit, a building material status analysis unit, and a comprehensive analysis unit; The warehouse status analysis unit includes a stacking analysis subunit and a deviation analysis subunit; The stacking analysis subunit is used to obtain the stacking stability factor Djyz based on relevant placement status data, by associating the base area Jcmj with the inclination Qxd and performing linear normalization. The stacking stability factor Djyz is obtained using the following formula: ; In the formula, Dcz represents the number of stacking layers, Dcgd represents the stacking height, and a1, a2, a3, and a4 represent the weighting coefficients of the inclination Qxd, the base area Jcmj, the number of stacking layers Dcz, and the stacking height Dcgd, respectively.

[0011] Preferably, the deviation analysis subunit is used to obtain the disorder coefficient Hx based on relevant mixed data information and the stacking stability factor Djyz obtained in the stacking analysis subunit, after linear normalization. The disorder coefficient Hx is obtained by the following formula: ; In the formula, Ccz represents the error amount, Pjj represents the deviation interval, and Lsd represents the number of dispersion points. and All are represented as weighting coefficients, and C represents the first correction constant.

[0012] Preferably, the building material condition analysis unit is used to obtain the damage state coefficient Pzxs based on relevant damage data information by associating the deformation ratio Xbzb and the fracture length Dlsc, and then performing linear normalization. The damage state coefficient Pzxs is obtained by the following formula: ; In the formula, Zsz represents the loading rate, x and z are both weighting coefficients, and P represents the second correction constant.

[0013] Preferably, the comprehensive analysis unit is used to combine the factory warehouse status analysis unit and the building material status analysis unit to obtain the rectification assessment index Zgzs, which is obtained by the following formula: ; In the formula, Ss represents the number of uses, Czs represents the reset time, F1, F2, F3 and F4 represent the weighting coefficients of the damage state coefficient Pzxs, the disorder coefficient Hx, the number of uses Ss and the reset time Czs, respectively, and A represents the third correction constant.

[0014] Preferably, the management module includes a threshold comparison unit and a feedback management unit; The threshold comparison unit is used to evaluate the relocation plan of building material routes within the engineering plant warehouse by comparing and analyzing the rectification evaluation index Zgzs with the evaluation threshold Q. The specific planning content is as follows: If the rectification assessment index Zgzs ≥ the assessment threshold Q, it indicates that there is an abnormality in the layout established in the current engineering warehouse. At this time, a reset command is issued to notify the inventory personnel to replan and adjust the building material path, and adjust the storage location and path of the building materials. If the rectification assessment index Zgzs < the assessment threshold Q, it means that there is no abnormality in the layout established in the current engineering warehouse. At this time, there is no need to issue an additional reset command, but it is still necessary to continue to monitor and assess the building material path in the warehouse. The feedback management unit is used to collect and provide feedback on the execution results from the threshold comparison unit, and display the execution results on the background operation platform, while performing real-time tracking and management.

[0015] The BIM-based engineering data management method includes the following steps: Step 1: First, establish a BIM building information model in advance, and then use RFID tags to mark building materials when they enter the warehouse, and record the quantity and status of building materials entering and leaving the warehouse in real time. Step 2: Next, monitor and record the relevant placement status data of various types of building materials in the warehouse, and identify the location of building materials based on the quantity status of building materials entering and leaving the warehouse, and obtain the relevant mixed data information of various types of building materials. At the same time, when conducting information inventory of the warehouse, monitor and lock the relevant damage data information of building materials, and establish a data database. Step 3: Then, based on the quantity status of building materials entering and leaving the warehouse, when taking inventory of the factory warehouse, check the remaining quantity Sv of the corresponding building materials and take inventory of the damage quantity Pz of the corresponding building materials to generate the usage quantity Ss. If it does not exceed the progress threshold w, then send out a purchase instruction. Step 4: Next, feature extraction is performed on relevant data information in the database to obtain the base area Jcmj, tilt Qxd, error Ccz, deformation ratio Xbzb, and fracture length Dlsc. Then, machine learning is used to calculate and obtain the stacking stability factor Djyz, disorder coefficient Hx, and damage state coefficient Pzxs. By associating the disorder coefficient Hx and the damage state coefficient Pzxs, and after linear normalization, the rectification evaluation index Zgzs is obtained. Step 5: Finally, set the evaluation threshold Q in advance and compare it with the rectification evaluation index Zgzs to evaluate the relocation plan of building material routes in the factory warehouse of the project.

[0016] This invention provides a BIM-based engineering data management method and system, which has the following beneficial effects: (1) The label voucher module and the data information collection module realize the real-time recording and monitoring of the entry and exit of building materials, their placement status and damage status, which further helps managers to understand the quantity and status of building materials in a timely manner. By monitoring the placement status and damage status of building materials, the damage of building materials can be further reduced and the service life of building materials can be extended. The verification module generates the usage quantity Ss by verifying the remaining quantity Sv and the damage quantity Pz of building materials, and analyzes the usage quantity Ss to determine whether a purchase order needs to be sent, effectively managing the inventory status of building materials, further avoiding the situation of excess or shortage of inventory, and improving the efficiency of inventory management. The engineering warehouse analysis module obtains the stacking stability factor Djyz, the disorder degree coefficient Hx and the damage status coefficient Pzxs through feature extraction and machine learning calculation, and calculates the rectification evaluation index Zgzs, which can optimize the stacking and path planning of building materials, further reducing the disorder and damage of building materials in the warehouse. The management module pre-sets the evaluation threshold Q, compares it with the rectification evaluation index Zgzs, and evaluates the building material path reset plan, which can prevent the disorder and waste of building material stacking and improve resource utilization efficiency.

[0017] (2) Based on multiple sets of damage information, the damage state coefficient Pzxs is calculated, which helps to understand the degree and state of damage of building materials from multiple perspectives, take timely measures to repair or replace them, reduce the possibility of project delays and additional cost inputs caused by damage expansion, and improve the reliability and maintenance efficiency of the project data management system.

[0018] (3) The verification module effectively combines mathematical calculation and automated comparative analysis functions to improve the accuracy of building material quantity management, and at the same time helps to detect building material shortages or losses in a timely manner, further ensuring the smooth progress of the project. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the BIM-based engineering data management system of the present invention; Figure 2 This is a schematic diagram illustrating the steps of the BIM-based engineering data management method of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Example 1: Please see Figure 1 This invention provides a BIM-based engineering data management system, including a label certificate module, a data information collection module, a verification module, an engineering plant database analysis module, and a management module; The tag certificate module is used to pre-establish a BIM building information model, and to perform RFID tag marking operations when building materials enter the factory warehouse, and to record the quantity status of building materials entering and leaving the warehouse in real time. The data information acquisition module is used to monitor and record the relevant placement status data of various types of building materials in the factory warehouse, and to identify the location of building materials based on the quantity status of building materials entering and leaving the warehouse, and to obtain the relevant mixed data information of various types of building materials. At the same time, when conducting information inventory of the factory warehouse, it monitors and locks the relevant damage data information of building materials and establishes a data database. The verification module is used to check the remaining quantity Sv of the corresponding building materials when inventorying the factory warehouse, based on the quantity status of building materials entering and leaving the warehouse, and to count the damage quantity Pz of the corresponding building materials, so as to generate the usage quantity Ss. If it does not exceed the progress threshold w, a purchase instruction is sent out. The engineering plant database analysis module is used to extract features from relevant data information in the data database to obtain the base area Jcmj, tilt Qxd, error Ccz, deformation ratio Xbzb, and fracture length Dlsc. It also uses machine learning to calculate and obtain the stacking stability factor Djyz, disorder coefficient Hx, and damage state coefficient Pzxs. By associating the disorder coefficient Hx and the damage state coefficient Pzxs, and after linear normalization, the rectification evaluation index Zgzs is obtained. The management module is used to pre-set the evaluation threshold Q and compare it with the rectification evaluation index Zgzs to evaluate the relocation plan of building material routes in the engineering plant warehouse.

[0022] During operation, this system utilizes RFID tagging and data collection modules to monitor the real-time entry and exit status, stacking status, and damage of building materials, laying the foundation for effective management of material flow and storage. The verification and management modules quickly identify the remaining quantity (Sv), damage quantity (Pz), and usage quantity (Ss) of building materials, enabling timely issuance of procurement orders to avoid over-purchasing or losses and reduce financial waste. The engineering warehouse analysis module uses machine learning calculations and feature extraction to generate a rectification assessment index (Zgzs), helping to plan building material relocation routes, optimize inventory management, and improve inventory utilization and stacking stability. The system's automation and real-time monitoring functions reduce manual intervention while improving management efficiency, lowering error rates, and ensuring the accuracy and reliability of engineering data. In summary, this system has significant beneficial effects on building material management, inventory optimization, loss reduction, and improved management efficiency, contributing to the overall improvement of project management level and efficiency.

[0023] Example 2: Please refer to Figure 1 Specifically: the label credential module includes a model building unit and a label setting unit; The model building unit is used to collect and record basic information about the building project, including design drawings, technical specifications, and material lists. It also creates the framework of the building model in BIM software, including the structure and spatial layout of building components. Based on the design drawings, it sets up building components such as walls, floors, beams, and columns in the building model and adds RFID tag information, such as identifiers, locations, and material information for building materials in the factory warehouse, to mark building materials and associate them with the actual building model. The unit updates and maintains the building information model in real time, tracking changes and updates to building components to ensure consistency between the model and the actual project.

[0024] The tag setting unit is used to pre-encode and set RFID tags, including building material information and identifiers. The RFID tag printer is used to print the tags and attach them to the building materials. The unit also records the quantity and time of building materials entering and leaving the warehouse in real time, performs statistics and analysis on the quantity of building materials entering and leaving the warehouse, generates charts and displays them in a visual form, and monitors and identifies building material tags in real time through RFID reading and writing devices. It also monitors abnormal situations in the process of building materials entering and leaving the warehouse, including quantity mismatch and tag damage. At this time, an alarm will be issued and recorded.

[0025] The data information collection module includes a first inventory unit, a second inventory unit, and a third inventory unit; The first inventory unit is used to inventory and record the relevant placement status data of various types of building materials in the factory warehouse. The relevant placement status data includes the number of stacking layers Dcz, the base area Jcmj, the stacking height Dcgd, and the tilt Qxd. This unit helps to understand the storage status of building materials and the space utilization rate. The second inventory unit is used to inventory and record the relevant mixed data information of various types of building materials in the factory warehouse. The relevant mixed data information includes deviation spacing Pjj, number of scattered points Lsd, error amount Ccz, and duration of disordered placement. The third inventory unit is used to monitor and lock relevant damage data information of building materials, including fracture length Dlsc, loading rate Zsz, and deformation ratio Xbzb.

[0026] In this embodiment, basic information of the building project is collected and recorded to create a BIM building model. By updating and maintaining the building information model in real time, consistency between the model and the actual project is maintained, which helps to facilitate efficient collaboration between project design and construction. RFID tags are pre-coded, printed, and attached to building materials. The quantity and time of building materials entering and leaving the warehouse are recorded in real time. The status of building materials entering and leaving the warehouse is statistically analyzed and displayed in a visual form. The tags are monitored and identified, and anomalies are detected and alarms are issued in a timely manner, which helps to improve the accuracy and efficiency of building material management. Inventory records of the placement status of building materials help to optimize the stacking location and management process of building materials, further improving the efficiency of subsequent work and increasing inventory utilization. Inventory records of mixed data of building materials help to identify irregularities and disorder in the placement of building materials, and adjust the placement method in a timely manner to further reduce disorder and damage. Monitoring and locking relevant damage data of building materials helps to identify the degree and cause of damage to building materials, and repair or replace damaged building materials in a timely manner, improving the service life and safety of building materials. In summary, this system enables full life-cycle management, refined monitoring, and early warning of anomalies for building materials, which helps improve the management efficiency of construction projects, reduce losses and waste, and ensure project safety and quality.

[0027] Example 3: Please refer to Figure 1 Specifically: the verification module includes a preliminary inventory analysis unit and a comparison unit; The preliminary inventory analysis unit is used to generate the usage quantity Ss based on the remaining quantity Sv and the damage quantity Pz of the corresponding building materials in the factory warehouse. The usage quantity Ss is obtained by the following formula: ; The comparison unit is used to pre-set the progress threshold w and compare it with the usage quantity Ss to determine whether the current corresponding building materials are in normal volume. If the quantity used Ss is greater than or equal to the progress threshold w, it means that the current building materials are at a normal level, and no additional procurement instructions will be sent out temporarily. If the quantity used Ss is less than the progress threshold w, it indicates that the corresponding building materials are not in normal quantity, and a procurement instruction will be sent out.

[0028] In this embodiment, the remaining quantity Sv and the damage quantity Pz of building materials are used to generate the usage quantity Ss. By quantitatively analyzing the future usability of building materials, the system further helps managers understand the actual situation of building materials. A pre-set progress threshold w enables standardized assessment of building material usage. By comparing the quantity Ss, the system determines whether the building materials are in normal condition. Based on the comparison results, the system automatically judges the status of building materials, further reducing errors that may occur with manual judgment, and improving the accuracy and timeliness of decision-making. At the same time, the system automatically sends out procurement instructions based on the comparison results, which helps to replenish building materials in a timely manner, avoid the impact of building material shortages on project progress, and improve the efficiency and smoothness of project execution. These design schemes help to achieve precise management and timely replenishment of building material inventory, improve the real-time monitoring and assessment of building material status, help reduce problems caused by excessive or insufficient building materials, optimize the inventory management process, and improve the overall efficiency and management level of the project data management system.

[0029] Example 4: Please refer to Figure 1 Specifically: the engineering plant warehouse analysis module includes a plant warehouse status analysis unit, a building material status analysis unit, and a comprehensive analysis unit; The warehouse status analysis unit includes a stacking analysis subunit and a deviation analysis subunit; The stacking analysis subunit is used to obtain the stacking stability factor Djyz based on relevant placement status data, by associating the base area Jcmj with the inclination Qxd and performing linear normalization. The stacking stability factor Djyz is obtained using the following formula: ; In the formula, Dcz represents the number of stacking layers, Dcgd represents the stacking height, and a1, a2, a3 and a4 represent the weighting coefficients of the inclination Qxd, the base area Jcmj, the number of stacking layers Dcz and the stacking height Dcgd, respectively. Among them, 0≤a1≤1, 0≤a2≤1, 0≤a3≤1, 0≤a4≤1, and a1+a2+a3+a4≤1.

[0030] The aforementioned tilt angle Qxd can be monitored and collected using tilt sensors or inclination sensors, which can measure the tilt angle of building materials relative to the horizontal plane.

[0031] The area of ​​the base layer, Jcmj, can be obtained by measuring the planar dimensions of the engineering site or base building materials. Surveying instruments such as total stations or GPS positioning devices can be used to measure the area of ​​the ground.

[0032] The number of stacked layers, Dcz, can be monitored and recorded using a stack gauge or stack height sensor. These sensors can measure the height of the stacked building materials, and then the thickness of individual building materials can be measured using a rangefinder to obtain the stacked layer information.

[0033] The stacking height Dcgd can be measured using instruments such as laser rangefinders or ultrasonic rangefinders.

[0034] The deviation analysis subunit is used to obtain the disorder coefficient Hx based on relevant mixed data information and the stacking stability factor Djyz obtained in the stacking analysis subunit, after linear normalization. The disorder coefficient Hx is obtained by the following formula: ; In the formula, Ccz represents the error amount, Pjj represents the deviation interval, and Lsd represents the number of dispersion points. and All are represented as weighting coefficients, and C represents the first correction constant, where, ,and .

[0035] The aforementioned error amount Ccz can be used to statistically determine the number of misalignments between building materials using a record book.

[0036] The deviation spacing Pjj can be obtained by measuring the distance between the misplaced position of the building materials and their actual intended position. This can be done using a rangefinder or sensor.

[0037] The number of dispersed placement points (Lsd) can be used to statistically summarize the number of locations where building materials are scattered.

[0038] In this embodiment, the stacking stability factor Djyz is calculated based on the stacking status data. The stability factor, derived through a formula, helps assess the stability and safety of building material stacking, enabling early detection of potential stacking problems and further reducing the risk of damage caused by stacking. Combining relevant mixed data and the stacking stability factor Djyz, the disorder coefficient Hx is calculated, which helps further assess the disorder level and overall state of the building material stacking. In summary, the warehouse status analysis unit combines the results of stacking analysis and deviation analysis to conduct a comprehensive analysis and evaluation, gaining a holistic understanding of the status and management of building materials within the warehouse. This provides a basis and direction for optimizing management, while also helping to improve management efficiency and reduce the risk of loss, thereby optimizing the overall operational effect of the engineering data management system.

[0039] Example 5: Please refer to Figure 1 Specifically: the building material condition analysis unit is used to obtain the damage state coefficient Pzxs by associating the deformation ratio Xbzb and the fracture length Dlsc based on relevant damage data information and after linear normalization. The damage state coefficient Pzxs is obtained by the following formula: ; In the formula, Zsz represents the loading rate, x and z are both weighting coefficients, P represents the second correction constant, where 0≤x≤1, 0≤z≤1, and x+z≤1.

[0040] The aforementioned deformation ratio Xbzb can be monitored and collected using strain sensors or deformation sensors.

[0041] The fracture length Dlsc can be obtained by monitoring with a rangefinder; The loading rate Zsz refers to the change in force applied to building materials per unit time. For example, if a building material is subjected to a very large force in a short period of time, i.e., the loading rate Dlsc is high, the material may fail due to impact damage or rapid plastic deformation. Conversely, if the same force is gradually increased over a longer period of time, i.e., the loading rate Dlsc is low, the material may experience progressive deformation or fatigue failure. The loading rate Zsz is estimated by measuring the force applied to the building material using load sensors or loading sensors, and then combining this with information about the material's storage time, by calculating the ratio of the force change to time.

[0042] Example 6: Please refer to Figure 1 Specifically: the comprehensive analysis unit is used to combine the factory warehouse status analysis unit and the building material status analysis unit to obtain the rectification assessment index Zgzs, which is obtained through the following formula: ; In the formula, Ss represents the number of uses, Czs represents the reset time, and F1, F2, F3, and F4 represent the weighting coefficients of the damage state coefficient Pzxs, the disorder level coefficient Hx, the number of uses Ss, and the reset time Czs, respectively, where 0≤F1≤1, 0≤F2≤1, 0≤F3≤1, 0≤F4≤1, and F1+F2+F3+F4≤1, and A represents the third correction constant. The weighting coefficients can be obtained by referring to the analytic hierarchy process (AHP). The reset duration Czs mentioned above refers to the time elapsed since the last overhaul of the factory warehouse, which can be collected and obtained through a time recorder or record manual; The management module includes a threshold comparison unit and a feedback management unit; The threshold comparison unit is used to evaluate the relocation plan of building material routes within the engineering plant warehouse by comparing and analyzing the rectification evaluation index Zgzs with the evaluation threshold Q. The specific planning content is as follows: If the rectification assessment index Zgzs ≥ the assessment threshold Q, it indicates that there is an abnormality in the layout established in the current engineering warehouse. At this time, a reset command is issued to notify the inventory personnel to replan and adjust the building material path, adjust the storage location and path of the building materials, and ensure that they meet safety and management requirements. If the rectification assessment index Zgzs < the assessment threshold Q, it means that there is no abnormality in the layout established in the current engineering warehouse. At this time, there is no need to issue an additional reset command, but it is still necessary to continue to monitor and assess the building material path in the warehouse. The feedback management unit is used to collect and feedback the execution results from the threshold comparison unit, and display the execution results on the background operation platform. This allows for timely detection of problems and the implementation of adjustment and processing measures to maintain the stable and efficient operation of the system. Simultaneously, it enables real-time tracking and management to ensure effective monitoring and management of the building material paths within the engineering warehouse, thereby improving the system's intelligence and responsiveness.

[0043] It should be noted that the Analytic Hierarchy Process (AHP) is an analytical method that combines qualitative and quantitative approaches. It can decompose complex problems into multiple levels and, by comparing the importance of factors at each level, help decision-makers make decisions on complex problems and determine the final decision-making solution. In this process, the AHP can be used to determine the weight coefficients of these indicators.

[0044] In this embodiment, the engineering warehouse analysis module analyzes the stacking status and mixed data to derive the stacking stability factor Djyz, the disorder coefficient Hx, and the damage state coefficient Pzxs. This helps assess the overall status and management needs of building materials, further improving the comprehensive control over the safety, stability, and management of building materials. Combining the warehouse status analysis and building material status analysis results, the module calculates the rectification assessment index Zgzs, weighing various factors to make the assessment more comprehensive and objective. This helps identify and resolve anomalies in the building material paths within the engineering warehouse. The rectification assessment index Zgzs is calculated and compared to determine if there are any anomalies in the layout of the building material paths within the engineering warehouse. A reset command is issued promptly to adjust the storage location and path of building materials, ensuring compliance with safety and management requirements. This helps to comprehensively assess the status and path planning of building materials within the engineering warehouse, identify and address any anomalies, and optimize building material storage and path planning. Based on the assessment results, a reset command is issued to notify inventory personnel to plan and adjust the building material paths, improving the rationality and safety of the layout. Through real-time tracking and management; in short, the design of the comprehensive analysis unit and management module, through a scientific evaluation and management mechanism, enables comprehensive monitoring and adjustment of the building material paths within the engineering plant warehouse, which helps improve management efficiency while reducing the occurrence of anomalies, thereby optimizing the overall operational effect of the engineering data management system.

[0045] Example 7: Please refer to Figure 1 and Figure 2 Specifically, the BIM-based engineering data management method includes the following steps: Step 1: First, establish a BIM building information model in advance, and then use RFID tags to mark building materials when they enter the warehouse, and record the quantity and status of building materials entering and leaving the warehouse in real time. Step 2: Next, monitor and record the relevant placement status data of various types of building materials in the warehouse, and identify the location of building materials based on the quantity status of building materials entering and leaving the warehouse, and obtain the relevant mixed data information of various types of building materials. At the same time, when conducting information inventory of the warehouse, monitor and lock the relevant damage data information of building materials, and establish a data database. Step 3: Then, based on the quantity status of building materials entering and leaving the warehouse, when taking inventory of the factory warehouse, check the remaining quantity Sv of the corresponding building materials and take inventory of the damage quantity Pz of the corresponding building materials to generate the usage quantity Ss. If it does not exceed the progress threshold w, then send out a purchase instruction. Step 4: Next, feature extraction is performed on relevant data information in the database to obtain the base area Jcmj, tilt Qxd, error Ccz, deformation ratio Xbzb, and fracture length Dlsc. Then, machine learning is used to calculate and obtain the stacking stability factor Djyz, disorder coefficient Hx, and damage state coefficient Pzxs. By associating the disorder coefficient Hx and the damage state coefficient Pzxs, and after linear normalization, the rectification evaluation index Zgzs is obtained. Step 5: Finally, set the evaluation threshold Q in advance and compare it with the rectification evaluation index Zgzs to evaluate the relocation plan of building material routes in the factory warehouse of the project.

[0046] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended technical solutions and their equivalents.

Claims

1. A BIM-based engineering data management system, characterized in that: It includes a label and certificate module, a data and information collection module, a verification module, an engineering plant and warehouse analysis module, and a management module; The tag certificate module is used to pre-establish a BIM building information model, and to perform RFID tag marking operations when building materials enter the factory warehouse, and to record the quantity status of building materials entering and leaving the warehouse in real time. The data information acquisition module is used to monitor and record the relevant placement status data of various types of building materials in the factory warehouse, and to identify the location of building materials based on the quantity status of building materials entering and leaving the warehouse, and to obtain the relevant mixed data information of various types of building materials. At the same time, when conducting information inventory of the factory warehouse, it monitors and locks the relevant damage data information of building materials and establishes a data database. The verification module is used to check the remaining quantity Sv of the corresponding building materials when inventorying the factory warehouse, based on the quantity status of building materials entering and leaving the warehouse, and to count the damage quantity Pz of the corresponding building materials, so as to generate the usage quantity Ss. If it does not exceed the progress threshold w, a purchase instruction is sent out. The engineering plant database analysis module is used to extract features from relevant data information in the data database to obtain the base area Jcmj, tilt Qxd, error Ccz, deformation ratio Xbzb, and fracture length Dlsc. It also uses machine learning to calculate and obtain the stacking stability factor Djyz, disorder coefficient Hx, and damage state coefficient Pzxs. By associating the disorder coefficient Hx and the damage state coefficient Pzxs, and after linear normalization, the rectification evaluation index Zgzs is obtained. The management module is used to pre-set the evaluation threshold Q and compare it with the rectification evaluation index Zgzs to evaluate the relocation plan of building material routes in the engineering plant warehouse.

2. The BIM-based engineering data management system according to claim 1, characterized in that: The label credential module includes a model building unit and a label setting unit; The model building unit is used to collect and record basic information about the building project, including design drawings, technical specifications, and material lists. The framework of the building model is created in BIM software, including the structure of building components and spatial layout. At the same time, building components are set in the building model according to the design drawings, and RFID tag information is added to the building model. The tag setting unit is used to pre-encode and set RFID tags, print the tags using an RFID tag printer and attach them to building materials, and record the quantity and time of building materials entering and leaving the warehouse in real time. It also performs statistics and analysis on the quantity of building materials entering and leaving the warehouse, generates charts and displays them in a visual form, and monitors and identifies building material tags in real time through RFID reading and writing devices. It also monitors abnormal situations during the process of building materials entering and leaving the warehouse, including quantity mismatch and tag damage. At this time, an alarm will be issued and recorded.

3. The BIM-based engineering data management system according to claim 1, characterized in that: The data information collection module includes a first inventory unit, a second inventory unit, and a third inventory unit; The first inventory unit is used to inventory and record the relevant placement status data of various types of building materials in the factory warehouse. The relevant placement status data includes the number of stacking layers Dcz, the base area Jcmj, the stacking height Dcgd, and the inclination Qxd of the building materials. The second inventory unit is used to inventory and record the relevant mixed data information of various types of building materials in the factory warehouse. The relevant mixed data information includes deviation spacing Pjj, number of scattered points Lsd, error amount Ccz, and duration of disordered placement. The third inventory unit is used to monitor and lock relevant damage data information of building materials, including fracture length Dlsc, loading rate Zsz, and deformation ratio Xbzb.

4. The BIM-based engineering data management system according to claim 1, characterized in that: The verification module includes a preliminary inventory analysis unit and a comparison unit; The preliminary inventory analysis unit is used to generate the usage quantity Ss based on the remaining quantity Sv and the damage quantity Pz of the corresponding building materials in the factory warehouse. The usage quantity Ss is obtained by the following formula: ； The comparison unit is used to pre-set the progress threshold w and compare it with the usage quantity Ss to determine whether the current corresponding building materials are in normal volume. If the quantity used Ss is greater than or equal to the progress threshold w, it means that the current building materials are at a normal level, and no additional procurement instructions will be sent out temporarily. If the quantity used Ss is less than the progress threshold w, it indicates that the corresponding building materials are not in normal quantity, and a procurement instruction will be sent out.

5. The BIM-based engineering data management system according to claim 3, characterized in that: The engineering plant warehouse analysis module includes a plant warehouse status analysis unit, a building material status analysis unit, and a comprehensive analysis unit. The warehouse status analysis unit includes a stacking analysis subunit and a deviation analysis subunit; The stacking analysis subunit is used to obtain the stacking stability factor Djyz based on relevant placement status data, by associating the base area Jcmj with the inclination Qxd and performing linear normalization. The stacking stability factor Djyz is obtained using the following formula: ； In the formula, Dcz represents the number of stacking layers, Dcgd represents the stacking height, and a1, a2, a3, and a4 represent the weighting coefficients of the inclination Qxd, the base area Jcmj, the number of stacking layers Dcz, and the stacking height Dcgd, respectively.

6. The BIM-based engineering data management system according to claim 5, characterized in that: The deviation analysis subunit is used to obtain the disorder coefficient Hx based on relevant mixed data information and the stacking stability factor Djyz obtained in the stacking analysis subunit, after linear normalization. The disorder coefficient Hx is obtained by the following formula: ； In the formula, Ccz represents the error amount, Pjj represents the deviation interval, and Lsd represents the number of dispersion points. and All are represented as weighting coefficients, and C represents the first correction constant.

7. The BIM-based engineering data management system according to claim 5, characterized in that: The building material condition analysis unit is used to obtain the damage state coefficient Pzxs based on relevant damage data information by associating the deformation ratio Xbzb and the fracture length Dlsc, and after linear normalization. The damage state coefficient Pzxs is obtained by the following formula: ； In the formula, Zsz represents the loading rate, x and z are both weighting coefficients, and P represents the second correction constant.

8. The BIM-based engineering data management system according to claim 5, characterized in that: The comprehensive analysis unit is used to combine the factory warehouse status analysis unit and the building material status analysis unit to obtain the rectification assessment index Zgzs, which is obtained by the following formula: ； In the formula, Ss represents the number of uses, Czs represents the reset time, F1, F2, F3 and F4 represent the weighting coefficients of the damage state coefficient Pzxs, the disorder coefficient Hx, the number of uses Ss and the reset time Czs, respectively, and A represents the third correction constant.

9. The BIM-based engineering data management system according to claim 1, characterized in that: The management module includes a threshold comparison unit and a feedback management unit; The threshold comparison unit is used to evaluate the relocation plan of building material routes within the engineering plant warehouse by comparing and analyzing the rectification evaluation index Zgzs with the evaluation threshold Q. The specific planning content is as follows: If the rectification assessment index Zgzs ≥ the assessment threshold Q, it indicates that there is an abnormality in the layout established in the current engineering warehouse. At this time, a reset command is issued to notify the inventory personnel to replan and adjust the building material path, and adjust the storage location and path of the building materials. If the rectification assessment index Zgzs < the assessment threshold Q, it means that there is no abnormality in the layout established in the current engineering warehouse. At this time, there is no need to issue an additional reset command, but it is still necessary to continue to monitor and assess the building material path in the warehouse. The feedback management unit is used to collect and provide feedback on the execution results from the threshold comparison unit, and display the execution results on the background operation platform, while performing real-time tracking and management.

10. A BIM-based engineering data management method, comprising the BIM-based engineering data management system described in any one of claims 1 to 9, characterized in that: Includes the following steps, Step 1: First, establish a BIM building information model in advance, and then use RFID tags to mark building materials when they enter the warehouse, and record the quantity and status of building materials entering and leaving the warehouse in real time. Step 2: Next, monitor and record the relevant placement status data of various types of building materials in the warehouse, and identify the location of building materials based on the quantity status of building materials entering and leaving the warehouse, and obtain the relevant mixed data information of various types of building materials. At the same time, when conducting information inventory of the warehouse, monitor and lock the relevant damage data information of building materials, and establish a data database. Step 3: Then, based on the quantity status of building materials entering and leaving the warehouse, when taking inventory of the factory warehouse, check the remaining quantity Sv of the corresponding building materials and take inventory of the damage quantity Pz of the corresponding building materials to generate the usage quantity Ss. If it does not exceed the progress threshold w, then send out a purchase instruction. Step 4: Next, feature extraction is performed on relevant data information in the database to obtain the base area Jcmj, tilt Qxd, error Ccz, deformation ratio Xbzb, and fracture length Dlsc. Then, machine learning is used to calculate and obtain the stacking stability factor Djyz, disorder coefficient Hx, and damage state coefficient Pzxs. By associating the disorder coefficient Hx and the damage state coefficient Pzxs, and after linear normalization, the rectification evaluation index Zgzs is obtained. Step 5: Finally, set the evaluation threshold Q in advance and compare it with the rectification evaluation index Zgzs to evaluate the relocation plan of building material routes in the factory warehouse of the project.

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