A bim-based engineering cycle management method and system

Abstract

The application provides a BIM-based engineering cycle management method and system. The method comprises the following steps: automatically extracting engineering component demand data through a preset BIM model, calculating cycle supply capacity points in combination with supplier capacity and historical performance data, intelligently matching intended suppliers and allocating supply quantities; collecting component supply progress according to dynamic supervision cycles, quantifying cycle pressure data through a cycle pressure evaluation model, grading component supply states and automatically pushing progress notifications; triggering cause feedback and rectification mechanisms for lagging high-risk states, and dynamically adjusting supervision frequencies in combination with component importance and supplier credit, thereby realizing collaborative control of component supply and engineering cycles; the application can solve problems such as component supply lagging, unintelligent progress supervision and lagging supply risk early warning in traditional engineering, improve the automation, refinement and risk controllability of the supply link in BIM full-cycle management, ensure continuous and stable construction progress, and reduce the risk of construction delay.

Description

Technical Field

[0001] This application relates to the field of project lifecycle management, and more specifically, to a BIM-based project lifecycle management method and system. Background Technology

[0002] In the full lifecycle management of building projects, the component supply cycle directly determines the overall construction progress, cost control, and project quality. Current traditional project cycle management generally relies on manual statistics, offline communication, and experience-based judgment. Not only does it rely on manual breakdown of component requirements from two-dimensional drawings, leading to data errors, inefficiency, and a lack of precise linkage with construction progress, but supplier selection also largely depends on historical partnerships, lacking a scientifically quantifiable evaluation system and failing to guarantee capacity matching and contract fulfillment stability. Furthermore, supply progress relies on manual reporting, resulting in a fixed and rigid monitoring cycle, making it impossible to implement differentiated management for critical components and high-risk suppliers. Supply risks are mostly addressed reactively after the fact, lacking proactive quantitative assessment, automatic early warning, and closed-loop rectification mechanisms. In addition, existing BIM technology is mostly used only for modeling and visualization, failing to deeply integrate into supply chain cycle management, comprehensive supplier evaluation, and intelligent schedule scheduling, resulting in significant data silos and insufficient full-cycle project management capabilities. In summary, existing technologies are insufficient to achieve integrated intelligent management of component demand, supplier capabilities, supply schedule, and construction cycle. This can easily lead to problems such as delayed, incorrect, or missing component supply and mismatched production capacity, resulting in consequences such as project delays, cost overruns, and low management efficiency. Therefore, there is an urgent need for a BIM-based project cycle management method and system to achieve intelligent assessment, dynamic monitoring, and risk warning of component supply. Summary of the Invention

[0003] The purpose of this application is to provide a BIM-based project cycle management method and system. This method can obtain cycle supply capacity scores through post-processing of component demand data and supplier capacity data, then match intended suppliers with supply quantity data, calculate cycle pressure data, perform threshold comparisons to obtain component supply status, and obtain corresponding supply progress notifications based on the component supply status. This enables the system to achieve...

[0004] Technologies for intelligent assessment, dynamic monitoring, and risk warning of component supply.

[0005] This application also provides a BIM-based project lifecycle management method, including the following steps:

[0006] Obtain component demand data for engineering construction and corresponding supplier capability data for each component;

[0007] The supplier's periodic supply capacity score is obtained based on supplier capability data processing;

[0008] Select the intended suppliers and corresponding supply volume data for each component based on component demand data, supplier capability data, and periodic supply capability scores;

[0009] The current progress data of the components supplied by the supplier is obtained according to the preset cycle, and the cycle pressure data is calculated based on the supply data, the current progress data and the component demand data.

[0010] The component supply status is obtained by comparing the cyclical pressure data with the preset supply status assessment threshold.

[0011] Match the corresponding supply progress notification according to the component supply status.

[0012] Optionally, in the BIM-based project lifecycle management method described in this application, the step of obtaining component demand data for project construction and supplier capability data corresponding to each component specifically includes:

[0013] Obtain component demand data for the project construction based on the preset BIM model, including component model data, component demand quantity, and corresponding standard supply cycle data;

[0014] Obtain supplier capability data for each component, including production capacity data and historical fulfillment service data for a preset time period;

[0015] Production capacity data includes data on the model of the components produced and the corresponding maximum production capacity. Historical performance service data includes the quality pass rate, on-time delivery rate, and service evaluation data of the components delivered within the preset time period.

[0016] Optionally, in the BIM-based project cycle management method described in this application, the step of obtaining the supplier's cycle supply capacity score based on supplier capability data processing specifically includes:

[0017] Normalized capacity data is obtained by normalizing the maximum capacity data of each supplier.

[0018] The cycle supply capacity score is obtained by weighting and summing normalized capacity data, quality pass rate, on-time delivery rate and service evaluation data with preset weighting coefficients.

[0019] Optionally, in the BIM-based project cycle management method described in this application, the step of selecting the intended supplier and corresponding supply quantity data for each component based on component demand data, supplier capability data, and cycle supply capability points specifically includes:

[0020] Match component model data with production component model data to obtain catalog suppliers, and sort the catalog suppliers in descending order of their periodic supply capacity points to obtain sequential suppliers;

[0021] The supplier matching status is obtained by comparing the cycle supply capacity score with the preset supplier matching status assessment threshold, including qualified suppliers or unqualified suppliers, and qualified suppliers are selected as potential suppliers.

[0022] The component supply ratio of any potential supplier is obtained by comparing its periodic supply capacity score with the sum of the periodic supply capacity scores of all potential suppliers.

[0023] Multiply the component demand quantity by the component supply share data to obtain the supplier's preliminary supply volume data;

[0024] The preliminary supply data is compared with the maximum capacity data of the corresponding supplier. If the maximum capacity data is greater than or equal to the preliminary supply data, the preliminary supply data is marked as the supply data.

[0025] Optionally, in the BIM-based project cycle management method described in this application, the step of obtaining the current progress data of the components supplied by the supplier according to a preset cycle, and calculating the cycle pressure data based on the supply volume data, the current progress data, and the component demand data, specifically includes:

[0026] The current progress data of the components supplied by the supplier is obtained according to the preset cycle, including the current completed supply data and the current working time data;

[0027] The current completed supply data, supply volume data, current working hours data, and standard supply cycle data are input into the preset cycle pressure assessment model to obtain cycle pressure data.

[0028] Optionally, in the BIM-based project cycle management method described in this application, the step of comparing cycle pressure data with a preset supply status assessment threshold to obtain the component supply status specifically includes:

[0029] The preset supply status assessment thresholds include a first threshold and a second threshold, and the first threshold is greater than the second threshold;

[0030] The cyclic pressure data is compared with the first and second thresholds to obtain the component supply status.

[0031] If the periodic pressure data is greater than or equal to the first threshold, then the component supply status is a high-risk state of lag.

[0032] If the periodic pressure data is greater than or equal to the second threshold and less than the first threshold, then the component supply status is normal.

[0033] If the periodic pressure data is less than the second threshold, the component supply status is in an advanced state.

[0034] Optionally, in the BIM-based project cycle management method described in this application, the step of matching the corresponding supply progress notification according to the component supply status specifically includes:

[0035] If the component supply status is normal or ahead of schedule, then send the normal or ahead of schedule status to the supplier and management terminal.

[0036] If the component supply status is in a high-risk delayed state, a reason feedback notification will be sent to the supplier.

[0037] Based on the reasons provided by the suppliers, corresponding corrective measures will be implemented, including setting a deadline for rectification or adjusting the quantity supplied by the suppliers.

[0038] Secondly, this application provides a BIM-based project cycle management system, which includes a memory and a processor. The memory includes a BIM-based project cycle management method program, which, when executed by the processor, performs the following steps:

[0039] Obtain component demand data for engineering construction and corresponding supplier capability data for each component;

[0040] The supplier's periodic supply capacity score is obtained based on supplier capability data processing;

[0041] Select the intended suppliers and corresponding supply volume data for each component based on component demand data, supplier capability data, and periodic supply capability scores;

[0042] The current progress data of the components supplied by the supplier is obtained according to the preset cycle, and the cycle pressure data is calculated based on the supply data, the current progress data and the component demand data.

[0043] The component supply status is obtained by comparing the cyclical pressure data with the preset supply status assessment threshold.

[0044] Match the corresponding supply progress notification according to the component supply status.

[0045] Optionally, in the BIM-based project lifecycle management system described in this application, the acquisition of component demand data and supplier capability data corresponding to each component specifically includes:

[0046] Obtain component demand data for the project construction based on the preset BIM model, including component model data, component demand quantity, and corresponding standard supply cycle data;

[0047] Obtain supplier capability data for each component, including production capacity data and historical fulfillment service data for a preset time period;

[0048] Production capacity data includes data on the model of the components produced and the corresponding maximum production capacity. Historical performance service data includes the quality pass rate, on-time delivery rate, and service evaluation data of the components delivered within the preset time period.

[0049] Optionally, in the BIM-based project lifecycle management system described in this application, the step of obtaining the supplier's lifecycle supply capability score based on supplier capability data processing specifically includes:

[0050] Normalized capacity data is obtained by normalizing the maximum capacity data of each supplier.

[0051] The cycle supply capacity score is obtained by weighting and summing normalized capacity data, quality pass rate, on-time delivery rate and service evaluation data with preset weighting coefficients.

[0052] As can be seen from the above, the BIM-based project cycle management method and system provided in this application automatically extracts project component demand data through a preset BIM model, calculates cycle supply capacity scores by combining supplier capacity and historical performance data, intelligently matches potential suppliers and allocates supply quantities; collects component supply progress according to a dynamic monitoring cycle, quantifies cycle pressure data through a cycle pressure assessment model, classifies component supply status, and automatically pushes progress notifications; it triggers a feedback and rectification mechanism for high-risk delayed states, and dynamically adjusts the monitoring frequency based on component importance and supplier credit, achieving coordinated management and control of component supply and project cycle; this invention can solve problems such as delayed component supply, unintelligent progress monitoring, and delayed supply risk warnings in traditional engineering, improves the automation, refinement, and risk controllability of the supply link in BIM full-cycle management, ensures continuous and stable construction progress, and reduces the risk of project delays.

[0053] Other features and advantages of this application will be set forth in the following description and will be apparent in part from the description or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings. Attached Figure Description

[0054] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0055] Figure 1 A flowchart illustrating a BIM-based project lifecycle management method provided in this application embodiment;

[0056] Figure 2 A flowchart illustrating the acquisition of component demand data and supplier capability data in a BIM-based project lifecycle management method provided in this application embodiment;

[0057] Figure 3 This is a data flow diagram illustrating a BIM-based project cycle management method provided in an embodiment of this application. Detailed Implementation

[0058] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0059] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0060] Please refer to Figure 1 , Figure 1 This is a flowchart of a BIM-based project lifecycle management method according to some embodiments of this application. This BIM-based project lifecycle management method is used in terminal devices, such as computers and mobile phones. The BIM-based project lifecycle management method includes the following steps:

[0061] S11. Obtain component demand data for the project construction and supplier capability data for each component;

[0062] S12. Obtain the supplier's periodic supply capacity score based on supplier capability data processing;

[0063] S13. Select the intended suppliers and corresponding supply volume data for each component based on component demand data, supplier capability data, and periodic supply capability points.

[0064] S14. Obtain the current progress data of the components supplied by the supplier according to the preset cycle, and calculate the cycle pressure data based on the supply data, current progress data and component demand data;

[0065] S15. Compare the periodic pressure data with the preset supply status assessment threshold to obtain the component supply status;

[0066] S16. Match the corresponding supply progress notification according to the component supply status.

[0067] BIM (Building Information Modeling) is a digital information technology and methodology that spans the entire lifecycle of a building project. BIM allows for the extraction of component demand data. During construction, suppliers are selected and assessed in advance, providing supplier capability data. Based on this published supplier capability data, a periodic supply capability score can be calculated. This score quantifies a supplier's overall ability to meet component supply requirements within a specified period; a higher score indicates stronger capability. Using component demand data, supplier capability data, and periodic supply capability scores as core criteria, a matching algorithm filters potential suppliers who can meet the project's requirements. Supply volume data is then allocated based on each potential supplier's overall capability level. During the formal component supply execution phase, the system continuously collects current progress data on the actual supply of components from suppliers according to a pre-set time period. This data is then combined with the already allocated supply volume data and project progress data. The system comprehensively calculates overall component demand data and real-time current progress data to obtain cycle pressure data that accurately reflects the urgency and risk of delays in the remaining cycle of supply tasks. The calculated cycle pressure data is then compared one by one with the system's preset multi-level supply status assessment thresholds to accurately determine the current supply status level of the component. Finally, the system automatically matches different component supply statuses and pushes corresponding supply progress notifications to the supplier terminal and management terminal, thereby completing the fully automated engineering cycle management from data collection, supplier capability assessment, screening of potential suppliers and allocation of supply volume, real-time progress monitoring, cycle pressure calculation, supply status judgment to intelligent notification push.

[0068] Please refer to Figure 2 , Figure 2 This is a flowchart illustrating how to obtain component demand data and supplier capability data based on multi-source data, according to an embodiment of this application. According to an embodiment of the present invention, obtaining the component demand data for engineering construction and the supplier capability data corresponding to each component specifically includes:

[0069] S21. Obtain component demand data for the project construction based on the preset BIM model, including component model data, component demand quantity and corresponding standard supply cycle data;

[0070] S22. Obtain supplier capability data for each component, including production capacity data and historical performance service data for a preset time period;

[0071] S23. Production capacity data includes production component model data and corresponding maximum production capacity data. Historical performance service data includes the quality pass rate, on-time delivery rate and service evaluation data of delivered components within a preset time period.

[0072] The system establishes a data interaction interface with a pre-set BIM model to directly extract complete component demand data required for the project construction. The extracted data includes component model data, component demand quantity, and standard supply cycle data that matches the construction schedule, ensuring that component demand information is highly consistent with the actual construction nodes. At the same time, the system obtains supplier capability data for each component through external data integration or manual input. Supplier capability data is mainly divided into two categories: production capacity data and historical performance service data within a preset time period. Production capacity data includes component model data that the supplier can produce and the maximum production capacity that the corresponding model can achieve within the preparation cycle. Historical performance service data includes the quality pass rate, delivery timeliness rate, and service evaluation data of components delivered by the supplier within the preset time period. Service evaluation data is the real-time evaluation score given by customers during the after-sales service process.

[0073] According to an embodiment of the present invention, the step of obtaining the supplier's periodic supply capacity score based on supplier capability data processing specifically includes:

[0074] Normalized capacity data is obtained by normalizing the maximum capacity data of each supplier.

[0075] The cycle supply capacity score is obtained by weighting and summing normalized capacity data, quality pass rate, on-time delivery rate and service evaluation data with preset weighting coefficients.

[0076] First, the highest capacity data of each supplier is normalized. By using a unified mapping rule, the differences in the magnitude of capacity data between different suppliers are eliminated, resulting in normalized capacity data within a unified numerical range. Then, the system uses the normalized capacity data, quality pass rate, on-time delivery rate, and service evaluation data as four core indicators for comprehensive supplier evaluation. These are combined with weighted summation calculations based on pre-set weight coefficients according to actual project needs. By allocating weights, the importance of different indicators in the evaluation of supply capacity is highlighted. Finally, a periodic supply capacity score that comprehensively and objectively reflects the supplier's overall supply capacity, delivery quality, performance efficiency, and service level is obtained, achieving a quantitative and standardized evaluation of supplier capabilities. In this embodiment, the value range of normalized capacity data, quality pass rate, on-time delivery rate, and service evaluation data is (0, 1).

[0077] According to an embodiment of the present invention, the step of selecting the intended suppliers and corresponding supply quantity data for each component based on component demand data, supplier capability data, and periodic supply capability integrals specifically includes:

[0078] Match component model data with production component model data to obtain catalog suppliers, and sort the catalog suppliers in descending order of their periodic supply capacity points to obtain sequential suppliers;

[0079] The supplier matching status is obtained by comparing the cycle supply capacity score with the preset supplier matching status assessment threshold, including qualified suppliers or unqualified suppliers, and qualified suppliers are selected as potential suppliers.

[0080] The component supply ratio of any potential supplier is obtained by comparing its periodic supply capacity score with the sum of the periodic supply capacity scores of all potential suppliers.

[0081] Multiply the component demand quantity by the component supply share data to obtain the supplier's preliminary supply volume data;

[0082] The preliminary supply data is compared with the maximum capacity data of the corresponding supplier. If the maximum capacity data is greater than or equal to the preliminary supply data, the preliminary supply data is marked as the supply data.

[0083] First, the component model data in the component demand data is precisely matched with the component model data that each supplier can produce, filtering out all catalog suppliers capable of producing the corresponding components. Then, the catalog suppliers are sorted from largest to smallest according to their periodic supply capacity score to obtain sequential suppliers, providing a basis for subsequent optimal selection. Next, the system compares each supplier's periodic supply capacity score with a preset supplier matching status evaluation threshold. Based on the comparison results, qualified and unqualified suppliers are identified, and qualified suppliers are determined as the final preferred suppliers. Based on this, the system calculates the proportion of a single preferred supplier's periodic supply capacity score to the sum of the periodic supply capacity scores of all preferred suppliers, obtaining the component supply ratio data for that supplier. Finally, the total number of engineering components required is multiplied by this supply ratio data. The system obtains the initial supply volume data required by the intended supplier, enabling scientific selection of suppliers and preliminary reasonable and fair allocation of supply volume. If the maximum capacity data is greater than or equal to the initial supply volume data, it indicates that the supplier can meet the requirements, and the initial supply volume data is marked as the supply volume data. In this embodiment, the supplier's maximum capacity data can generally meet the initial supply volume data. In extreme cases, if the maximum capacity data is less than the initial supply volume data, the initial supply volume data is subtracted from the maximum capacity data to obtain the differential supply volume data. The differential supply volume data is then allocated to other intended suppliers. The specific allocation method can be set according to the user's intention. In this embodiment, the differential supply volume data is generally small, and the differential supply volume data is preferentially allocated to the supplier with the largest difference between the maximum capacity data and the initial supply volume data.

[0084] According to an embodiment of the present invention, the step of obtaining the current progress data of the components supplied by the supplier according to a preset cycle, and calculating the cycle pressure data based on the supply data, the current progress data, and the component demand data, specifically includes:

[0085] The current progress data of the components supplied by the supplier is obtained according to the preset cycle, including the current completed supply data and the current working time data;

[0086] The current completed supply data, supply volume data, current working hours data, and standard supply cycle data are input into the preset cycle pressure assessment model to obtain cycle pressure data.

[0087] The system automatically collects current progress data from suppliers during the actual supply process according to a preset cycle. This data includes the current completed supply volume and the working time consumed from the start of supply to the current collection point. The current completed supply volume, current working time, and standard supply cycle data are then input into a preset cycle pressure assessment model for comprehensive processing and calculation. The model integrates and calculates multi-dimensional information such as completed supply volume, consumed time, standard supply cycle, remaining supply volume, and remaining time to obtain cycle pressure data that accurately reflects the urgency of supply, the magnitude of schedule risk, and the difficulty of task completion. This provides reliable data support for subsequent supply status assessment. In this embodiment, the calculation formula for cycle pressure data in the preset cycle pressure assessment model is:

[0088] ;

[0089] in, For periodic pressure data, This is the current completed supply data. For supply data, For standard supply cycle data, This represents the current working hours.

[0090] According to an embodiment of the present invention, the step of comparing the periodic pressure data with a preset supply status assessment threshold to obtain the component supply status specifically includes:

[0091] The preset supply status assessment thresholds include a first threshold and a second threshold, and the first threshold is greater than the second threshold;

[0092] The cyclic pressure data is compared with the first and second thresholds to obtain the component supply status.

[0093] If the periodic pressure data is greater than or equal to the first threshold, then the component supply status is a high-risk state of lag.

[0094] If the periodic pressure data is greater than or equal to the second threshold and less than the first threshold, then the component supply status is normal.

[0095] If the periodic pressure data is less than the second threshold, the component supply status is in an advanced state.

[0096] In this system, a supply status assessment threshold, including a first threshold and a second threshold, is pre-set, with the first threshold value being greater than the second threshold, forming a three-level status judgment interval. The calculated periodic pressure data is compared with the first threshold and the second threshold in sequence. When the periodic pressure data is greater than or equal to the first threshold, the component supply status is determined to be a high-risk delayed state, indicating that the current supply progress is seriously lagging behind and there is a significant risk to the project schedule. When the periodic pressure data is greater than or equal to the second threshold and less than the first threshold, the component supply status is determined to be a normal state, indicating that the current supply progress meets the planned requirements. When the periodic pressure data is less than the second threshold, the component supply status is determined to be an advanced state, indicating that the current supply progress is faster than the planned progress. This achieves accurate identification and hierarchical management of the three-level status of component supply progress. In this embodiment, the first threshold and the second threshold can be customized based on historical data and user preferences.

[0097] According to an embodiment of the present invention, the step of matching the corresponding supply progress notification based on the component supply status specifically includes:

[0098] If the component supply status is normal or ahead of schedule, then send the normal or ahead of schedule status to the supplier and management terminal.

[0099] If the component supply status is in a high-risk delayed state, a reason feedback notification will be sent to the supplier.

[0100] Based on the reasons provided by the suppliers, corresponding corrective measures will be implemented, including setting a deadline for rectification or adjusting the quantity supplied by the suppliers.

[0101] When the component supply status is normal or ahead of schedule, the system automatically sends the corresponding status information to the supplier terminal and management terminal, realizing real-time synchronization and transparent management of progress information. When the component supply status is in a high-risk delayed state, the system automatically sends a reason feedback notification to the supplier, requiring the supplier to provide timely feedback on the specific reasons for the supply delay within a specified time. After receiving the reasons from the supplier, the system automatically matches and executes the corresponding rectification measures according to the type of delay. The rectification measures mainly include two methods: setting time-limited rectification requirements based on the remaining construction period or readjusting the supplier's supply quantity based on the supplier's performance capability. This forms a complete management mechanism of real-time progress monitoring, automatic risk warning, timely reason feedback, and closed-loop rectification execution.

[0102] Please refer to Figure 3 , Figure 3 This is a data flow diagram illustrating a BIM-based project cycle management method provided in an embodiment of this application.

[0103] It is worth mentioning that when obtaining the current progress data of the components supplied by the supplier according to the preset cycle, it also includes:

[0104] Obtain the importance data of the components, and process importance data by integrating the importance data and the cycle supply capacity.

[0105] Compare the process importance data with the preset process supervision and evaluation threshold to obtain the supervision frequency status, including frequent status, normal status or lenient status.

[0106] The preset process supervision and evaluation thresholds include a third threshold and a fourth threshold, with the third threshold being greater than the fourth threshold;

[0107] If the process importance data is greater than the third threshold, then the monitoring frequency state is a frequent state, and the preset period is a short time period;

[0108] If the process importance data is greater than the fourth threshold and less than or equal to the third threshold, then the monitoring frequency status is normal and the preset period is the normal time period.

[0109] If the process importance data is less than the fourth threshold, the monitoring frequency state is relaxed, and the preset period is a relatively long time period.

[0110] In the process of the system acquiring the current progress data of the components supplied by the supplier according to the preset cycle, in order to achieve differentiated and intelligent supervision and management of the component supply process, a dynamic supervision cycle adjustment process is further implemented. The specific implementation technology and execution process are as follows: The system first automatically extracts and determines the importance data of the corresponding components based on the component's attribute information, construction process, structural function, and degree of impact on the overall construction progress in the preset BIM model. This importance data is used to characterize the criticality and risk level of the component in the project construction. Subsequently, the system performs weighted fusion processing on the acquired component importance data and the supplier's corresponding cycle supply capacity score. Through quantitative calculation, process importance data that can simultaneously reflect the criticality of the component and the supplier's comprehensive performance level is obtained. The higher the process importance data, the higher the importance of the component or the lower the supplier's supply capacity and performance stability. Conversely, the lower the process importance data, the lower the criticality of the component or the lower the supplier's supply risk. After obtaining the process importance data, the system compares the data with the preset process monitoring and evaluation thresholds. The preset process monitoring and evaluation thresholds include a third threshold and a fourth threshold, with the value of the third threshold being greater than the fourth threshold. The monitoring frequency status is divided into three levels: frequent, normal, and lenient, through the two-level thresholds. When the process importance data is greater than the third threshold, it indicates that the component is of high importance and the supplier's performance capability is low, resulting in a high supply risk. Therefore, the corresponding monitoring frequency status is determined to be frequent, and the system automatically adjusts the preset period for progress data collection to a shorter time period to achieve more intensive and detailed supply process monitoring. When the process importance data is greater than the fourth threshold and less than or equal to the third threshold, it indicates that the component importance and supplier performance level are within a reasonable range, and the supply risk is moderate. Therefore, the corresponding monitoring frequency is determined to be normal, and the system maintains a normal time cycle for progress data collection and monitoring. When the process importance data is less than the fourth threshold, it indicates that the component importance is low or the supplier's overall performance capability is high, and the supply risk is relatively low. Therefore, the corresponding monitoring frequency is determined to be relaxed, and the system automatically adjusts the preset period for progress data collection to a longer period, reducing the data collection frequency and management cost while ensuring the effectiveness of monitoring. Through the complete technical process of process importance data calculation, threshold comparison, monitoring frequency classification, and dynamic period adjustment, the system can automatically adapt differentiated monitoring strategies according to the actual importance of the component and the supplier's real-time supply capability, achieving precise, intelligent, and efficient control of the supply process, further improving the flexibility and reliability of BIM-based project cycle management methods. In this embodiment, the formula for calculating process importance data is:

[0111] ;

[0112] in, For process importance data, For importance data, As an integral of the cyclical supply capacity, , As a preset feature coefficient, in this embodiment, the value range of importance data and periodic supply capacity integral are both (0,1).

[0113] It is worth mentioning that the reasons for component supply delays reported by suppliers within the preset feedback time limit are divided into five categories: limited supplier capacity, abnormal production process, logistics and transportation delays, and inefficient internal management. The system automatically matches corresponding differentiated rectification measures according to the category of the delay reason.

[0114] In response to limited supplier capacity, a cross-supplier supply redistribution measure was implemented, allocating the remaining supply demand for the corresponding components to other qualified potential suppliers, and simultaneously updating the supply data in the BIM model in conjunction with the construction progress plan.

[0115] In response to abnormalities in the production process, implement time-limited rectification measures for the production process, set a rectification cycle for process repair and capacity recovery, and increase the frequency of progress monitoring within the rectification cycle;

[0116] In response to logistics and transportation delays, measures such as optimizing transportation routes, changing carriers, and expediting delivery scheduling were implemented, and the arrival time of components and the connection plan of construction procedures were updated simultaneously.

[0117] To address inefficient internal management, we implemented internal process optimization and rectification measures, as well as job responsibility control measures. We set deadlines for management process rectification and simultaneously reviewed subsequent performance progress.

[0118] In this system, once component supply is identified as high-risk due to delays and suppliers report the underlying causes, the system employs a pre-defined classification system to categorize all supply delays into five core types: limited capacity, production anomalies, logistics delays, and internal management issues. For each type of root cause, a specific and implementable rectification plan is matched, achieving precise root cause tracing, targeted measures, and closed-loop supply repair. Specifically, limited capacity issues focus on insufficient supplier capacity, addressing demand offsetting through supply sharing among multiple suppliers; production process anomalies focus on factory production failures, ensuring rectification implementation through time-bound repairs and enhanced monitoring; logistics and transportation issues focus on delays in off-site distribution, mitigating project timeline losses through capacity and route optimization; and internal management issues focus on loopholes in supplier process control, preventing recurrence of similar delays through management rectification. Simultaneously, all rectification operations are linked to the BIM model, updating component supply quantities, construction node plans, and progress control data to ensure consistency throughout the entire construction cycle.

[0119] This invention also discloses a BIM-based project cycle management system, including a memory and a processor. The memory stores a BIM-based project cycle management method program, which, when executed by the processor, performs the following steps:

[0120] Obtain component demand data for engineering construction and corresponding supplier capability data for each component;

[0121] The supplier's periodic supply capacity score is obtained based on supplier capability data processing;

[0122] Select the intended suppliers and corresponding supply volume data for each component based on component demand data, supplier capability data, and periodic supply capability scores;

[0123] The current progress data of the components supplied by the supplier is obtained according to the preset cycle, and the cycle pressure data is calculated based on the supply data, the current progress data and the component demand data.

[0124] The component supply status is obtained by comparing the cyclical pressure data with the preset supply status assessment threshold.

[0125] Match the corresponding supply progress notification according to the component supply status.

[0126] BIM (Building Information Modeling) is a digital information technology and methodology that spans the entire lifecycle of a building project. BIM allows for the extraction of component demand data. During construction, suppliers are selected and assessed in advance, providing supplier capability data. Based on this published supplier capability data, a periodic supply capability score can be calculated. This score quantifies a supplier's overall ability to meet component supply requirements within a specified period; a higher score indicates stronger capability. Using component demand data, supplier capability data, and periodic supply capability scores as core criteria, a matching algorithm filters potential suppliers who can meet the project's requirements. Supply volume data is then allocated based on each potential supplier's overall capability level. During the formal component supply execution phase, the system continuously collects current progress data on the actual supply of components from suppliers according to a pre-set time period. This data is then combined with the already allocated supply volume data and project progress data. The system comprehensively calculates overall component demand data and real-time current progress data to obtain cycle pressure data that accurately reflects the urgency and risk of delays in the remaining cycle of supply tasks. The calculated cycle pressure data is then compared one by one with the system's preset multi-level supply status assessment thresholds to accurately determine the current supply status level of the component. Finally, the system automatically matches different component supply statuses and pushes corresponding supply progress notifications to the supplier terminal and management terminal, thereby completing the fully automated engineering cycle management from data collection, supplier capability assessment, screening of potential suppliers and allocation of supply volume, real-time progress monitoring, cycle pressure calculation, supply status judgment to intelligent notification push.

[0127] According to an embodiment of the present invention, the acquisition of component demand data for engineering construction and supplier capability data corresponding to each component specifically includes:

[0128] Obtain component demand data for the project construction based on the preset BIM model, including component model data, component demand quantity, and corresponding standard supply cycle data;

[0129] Obtain supplier capability data for each component, including production capacity data and historical fulfillment service data for a preset time period;

[0130] Production capacity data includes data on the model of the components produced and the corresponding maximum production capacity. Historical performance service data includes the quality pass rate, on-time delivery rate, and service evaluation data of the components delivered within the preset time period.

[0131] The system establishes a data interaction interface with a pre-set BIM model to directly extract complete component demand data required for the project construction. The extracted data includes component model data, component demand quantity, and standard supply cycle data that matches the construction schedule, ensuring that component demand information is highly consistent with the actual construction nodes. At the same time, the system obtains supplier capability data for each component through external data integration or manual input. Supplier capability data is mainly divided into two categories: production capacity data and historical performance service data within a preset time period. Production capacity data includes component model data that the supplier can produce and the maximum production capacity that the corresponding model can achieve within the preparation cycle. Historical performance service data includes the quality pass rate, delivery timeliness rate, and service evaluation data of components delivered by the supplier within the preset time period. Service evaluation data includes real-time evaluation scores given by customers during the after-sales service process.

[0132] According to an embodiment of the present invention, the step of obtaining the supplier's periodic supply capacity score based on supplier capability data processing specifically includes:

[0133] Normalized capacity data is obtained by normalizing the maximum capacity data of each supplier.

[0134] The cycle supply capacity score is obtained by weighting and summing normalized capacity data, quality pass rate, on-time delivery rate and service evaluation data with preset weighting coefficients.

[0135] First, the highest capacity data of each supplier is normalized. By using a unified mapping rule, the differences in the magnitude of capacity data between different suppliers are eliminated, resulting in normalized capacity data within a unified numerical range. Then, the system uses the normalized capacity data, quality pass rate, on-time delivery rate, and service evaluation data as four core indicators for comprehensive supplier evaluation. These are combined with weighted summation calculations based on pre-set weight coefficients according to actual project needs. By allocating weights, the importance of different indicators in the evaluation of supply capacity is highlighted. Finally, a periodic supply capacity score that comprehensively and objectively reflects the supplier's overall supply capacity, delivery quality, performance efficiency, and service level is obtained, achieving a quantitative and standardized evaluation of supplier capabilities. In this embodiment, the value range of normalized capacity data, quality pass rate, on-time delivery rate, and service evaluation data is (0, 1).

[0136] According to an embodiment of the present invention, the step of selecting the intended suppliers and corresponding supply quantity data for each component based on component demand data, supplier capability data, and periodic supply capability integrals specifically includes:

[0137] Match component model data with production component model data to obtain catalog suppliers, and sort the catalog suppliers in descending order of their periodic supply capacity points to obtain sequential suppliers;

[0138] The supplier matching status is obtained by comparing the cycle supply capacity score with the preset supplier matching status assessment threshold, including qualified suppliers or unqualified suppliers, and qualified suppliers are selected as potential suppliers.

[0139] The component supply ratio of any potential supplier is obtained by comparing its periodic supply capacity score with the sum of the periodic supply capacity scores of all potential suppliers.

[0140] Multiply the component demand quantity by the component supply share data to obtain the supplier's preliminary supply volume data;

[0141] The preliminary supply data is compared with the maximum capacity data of the corresponding supplier. If the maximum capacity data is greater than or equal to the preliminary supply data, the preliminary supply data is marked as the supply data.

[0142] First, the component model data in the component demand data is precisely matched with the component model data that each supplier can produce, filtering out all catalog suppliers capable of producing the corresponding components. Then, the catalog suppliers are sorted from largest to smallest according to their periodic supply capacity score to obtain sequential suppliers, providing a basis for subsequent optimal selection. Next, the system compares each supplier's periodic supply capacity score with a preset supplier matching status evaluation threshold. Based on the comparison results, qualified and unqualified suppliers are identified, and qualified suppliers are determined as the final preferred suppliers. Based on this, the system calculates the proportion of a single preferred supplier's periodic supply capacity score to the sum of the periodic supply capacity scores of all preferred suppliers, obtaining the component supply ratio data for that supplier. Finally, the total number of engineering components required is multiplied by this supply ratio data. The system obtains the initial supply volume data required by the intended supplier, enabling scientific selection of suppliers and preliminary reasonable and fair allocation of supply volume. If the maximum capacity data is greater than or equal to the initial supply volume data, it indicates that the supplier can meet the requirements, and the initial supply volume data is marked as the supply volume data. In this embodiment, the supplier's maximum capacity data can generally meet the initial supply volume data. In extreme cases, if the maximum capacity data is less than the initial supply volume data, the initial supply volume data is subtracted from the maximum capacity data to obtain the differential supply volume data. The differential supply volume data is then allocated to other intended suppliers. The specific allocation method can be set according to the user's intention. In this embodiment, the differential supply volume data is generally small, and the differential supply volume data is preferentially allocated to the supplier with the largest difference between the maximum capacity data and the initial supply volume data.

[0143] According to an embodiment of the present invention, the step of obtaining the current progress data of the components supplied by the supplier according to a preset cycle, and calculating the cycle pressure data based on the supply data, the current progress data, and the component demand data, specifically includes:

[0144] The current progress data of the components supplied by the supplier is obtained according to the preset cycle, including the current completed supply data and the current working time data;

[0145] The current completed supply data, supply volume data, current working hours data, and standard supply cycle data are input into the preset cycle pressure assessment model to obtain cycle pressure data.

[0146] The system automatically collects current progress data from suppliers during the actual supply process according to a preset cycle. This data includes the current completed supply volume and the working time consumed from the start of supply to the current collection point. The current completed supply volume, current working time, and standard supply cycle data are then input into a preset cycle pressure assessment model for comprehensive processing and calculation. The model integrates and calculates multi-dimensional information such as completed supply volume, consumed time, standard supply cycle, remaining supply volume, and remaining time to obtain cycle pressure data that accurately reflects the urgency of supply, the magnitude of schedule risk, and the difficulty of task completion. This provides reliable data support for subsequent supply status assessment. In this embodiment, the calculation formula for cycle pressure data in the preset cycle pressure assessment model is:

[0147] ;

[0148] in, For periodic pressure data, This is the current completed supply data. For supply data, For standard supply cycle data, This represents the current working hours.

[0149] According to an embodiment of the present invention, the step of comparing the periodic pressure data with a preset supply status assessment threshold to obtain the component supply status specifically includes:

[0150] The preset supply status assessment thresholds include a first threshold and a second threshold, and the first threshold is greater than the second threshold;

[0151] The cyclic pressure data is compared with the first and second thresholds to obtain the component supply status.

[0152] If the periodic pressure data is greater than or equal to the first threshold, then the component supply status is a high-risk state of lag.

[0153] If the periodic pressure data is greater than or equal to the second threshold and less than the first threshold, then the component supply status is normal.

[0154] If the periodic pressure data is less than the second threshold, the component supply status is in an advanced state.

[0155] In this system, a supply status assessment threshold, including a first threshold and a second threshold, is pre-set, with the first threshold value being greater than the second threshold, forming a three-level status judgment interval. The calculated periodic pressure data is compared with the first threshold and the second threshold in sequence. When the periodic pressure data is greater than or equal to the first threshold, the component supply status is determined to be a high-risk delayed state, indicating that the current supply progress is seriously lagging behind and there is a significant risk to the project schedule. When the periodic pressure data is greater than or equal to the second threshold and less than the first threshold, the component supply status is determined to be a normal state, indicating that the current supply progress meets the planned requirements. When the periodic pressure data is less than the second threshold, the component supply status is determined to be an advanced state, indicating that the current supply progress is faster than the planned progress. This achieves accurate identification and hierarchical management of the three-level status of component supply progress. In this embodiment, the first threshold and the second threshold can be customized based on historical data and user preferences.

[0156] According to an embodiment of the present invention, the step of matching the corresponding supply progress notification based on the component supply status specifically includes:

[0157] If the component supply status is normal or ahead of schedule, then send the normal or ahead of schedule status to the supplier and management terminal.

[0158] If the component supply status is in a high-risk delayed state, a reason feedback notification will be sent to the supplier.

[0159] Based on the reasons provided by the suppliers, corresponding corrective measures will be implemented, including setting a deadline for rectification or adjusting the quantity supplied by the suppliers.

[0160] When the component supply status is normal or ahead of schedule, the system automatically sends the corresponding status information to the supplier terminal and management terminal, realizing real-time synchronization and transparent management of progress information. When the component supply status is in a high-risk delayed state, the system automatically sends a reason feedback notification to the supplier, requiring the supplier to provide timely feedback on the specific reasons for the supply delay within a specified time. After receiving the reasons from the supplier, the system automatically matches and executes the corresponding rectification measures according to the type of delay. The rectification measures mainly include two methods: setting time-limited rectification requirements based on the remaining construction period or readjusting the supplier's supply quantity based on the supplier's performance capability. This forms a complete management mechanism of real-time progress monitoring, automatic risk warning, timely reason feedback, and closed-loop rectification execution.

[0161] It is worth mentioning that when obtaining the current progress data of the components supplied by the supplier according to the preset cycle, it also includes:

[0162] Obtain the importance data of the components, and process importance data by integrating the importance data and the cycle supply capacity.

[0163] Compare the process importance data with the preset process supervision and evaluation threshold to obtain the supervision frequency status, including frequent status, normal status or lenient status.

[0164] The preset process supervision and evaluation thresholds include a third threshold and a fourth threshold, with the third threshold being greater than the fourth threshold;

[0165] If the process importance data is greater than the third threshold, then the monitoring frequency state is a frequent state, and the preset period is a short time period;

[0166] If the process importance data is greater than the fourth threshold and less than or equal to the third threshold, then the monitoring frequency status is normal and the preset period is the normal time period.

[0167] If the process importance data is less than the fourth threshold, the monitoring frequency state is relaxed, and the preset period is a relatively long time period.

[0168] In the process of the system acquiring the current progress data of the components supplied by the supplier according to the preset cycle, in order to achieve differentiated and intelligent supervision and management of the component supply process, a dynamic supervision cycle adjustment process is further implemented. The specific implementation technology and execution process are as follows: The system first automatically extracts and determines the importance data of the corresponding components based on the component's attribute information, construction process, structural function, and degree of impact on the overall construction progress in the preset BIM model. This importance data is used to characterize the criticality and risk level of the component in the project construction. Subsequently, the system performs weighted fusion processing on the acquired component importance data and the supplier's corresponding cycle supply capacity score. Through quantitative calculation, process importance data that can simultaneously reflect the criticality of the component and the supplier's comprehensive performance level is obtained. The higher the process importance data, the higher the importance of the component or the lower the supplier's supply capacity and performance stability. Conversely, the lower the process importance data, the lower the criticality of the component or the lower the supplier's supply risk. After obtaining the process importance data, the system compares the data with the preset process monitoring and evaluation thresholds. The preset process monitoring and evaluation thresholds include a third threshold and a fourth threshold, with the value of the third threshold being greater than the fourth threshold. The monitoring frequency status is divided into three levels: frequent, normal, and lenient, through the two-level thresholds. When the process importance data is greater than the third threshold, it indicates that the component is of high importance and the supplier's performance capability is low, resulting in a high supply risk. Therefore, the corresponding monitoring frequency status is determined to be frequent, and the system automatically adjusts the preset period for progress data collection to a shorter time period to achieve more intensive and detailed supply process monitoring. When the process importance data is greater than the fourth threshold and less than or equal to the third threshold, it indicates that the component importance and supplier performance level are within a reasonable range, and the supply risk is moderate. Therefore, the corresponding monitoring frequency is determined to be normal, and the system maintains a normal time cycle for progress data collection and monitoring. When the process importance data is less than the fourth threshold, it indicates that the component importance is low or the supplier's overall performance capability is high, and the supply risk is relatively low. Therefore, the corresponding monitoring frequency is determined to be relaxed, and the system automatically adjusts the preset period for progress data collection to a longer period, reducing the data collection frequency and management cost while ensuring the effectiveness of monitoring. Through the complete technical process of process importance data calculation, threshold comparison, monitoring frequency classification, and dynamic period adjustment, the system can automatically adapt differentiated monitoring strategies according to the actual importance of the component and the supplier's real-time supply capability, achieving precise, intelligent, and efficient control of the supply process, further improving the flexibility and reliability of BIM-based project cycle management methods. In this embodiment, the formula for calculating process importance data is:

[0169] ;

[0170] in, For process importance data, For importance data, As an integral of the cyclical supply capacity, , As a preset feature coefficient, in this embodiment, the value range of importance data and periodic supply capacity integral are both (0,1).

[0171] It is worth mentioning that the reasons for component supply delays reported by suppliers within the preset feedback time limit are divided into five categories: limited supplier capacity, abnormal production process, logistics and transportation delays, and inefficient internal management. The system automatically matches corresponding differentiated rectification measures according to the category of the delay reason.

[0172] In response to limited supplier capacity, a cross-supplier supply redistribution measure was implemented, allocating the remaining supply demand for the corresponding components to other qualified potential suppliers, and simultaneously updating the supply data in the BIM model in conjunction with the construction progress plan.

[0173] In response to abnormalities in the production process, implement time-limited rectification measures for the production process, set a rectification cycle for process repair and capacity recovery, and increase the frequency of progress monitoring within the rectification cycle;

[0174] In response to logistics and transportation delays, measures such as optimizing transportation routes, changing carriers, and expediting delivery scheduling were implemented, and the arrival time of components and the connection plan of construction procedures were updated simultaneously.

[0175] To address inefficient internal management, we implemented internal process optimization and rectification measures, as well as job responsibility control measures. We set deadlines for management process rectification and simultaneously reviewed subsequent performance progress.

[0176] In this system, once component supply is identified as high-risk due to delays and suppliers report the underlying causes, the system employs a pre-defined classification system to categorize all supply delays into five core types: limited capacity, production anomalies, logistics delays, and internal management issues. For each type of root cause, a specific and implementable rectification plan is matched, achieving precise root cause tracing, targeted measures, and closed-loop supply repair. Specifically, limited capacity issues focus on insufficient supplier capacity, addressing demand offsetting through supply sharing among multiple suppliers; production process anomalies focus on factory production failures, ensuring rectification implementation through time-bound repairs and enhanced monitoring; logistics and transportation issues focus on delays in off-site distribution, mitigating project timeline losses through capacity and route optimization; and internal management issues focus on loopholes in supplier process control, preventing recurrence of similar delays through management rectification. Simultaneously, all rectification operations are linked to the BIM model, updating component supply quantities, construction node plans, and progress control data to ensure consistency throughout the entire construction cycle.

[0177] This invention discloses a BIM-based project cycle management method and system. It automatically extracts project component demand data from a pre-set BIM model, calculates cycle supply capacity scores by combining supplier capacity and historical performance data, intelligently matches potential suppliers, and allocates supply quantities. It collects component supply progress data according to a dynamic monitoring cycle, quantifies cycle pressure data through a cycle pressure assessment model, classifies component supply status, and automatically pushes progress notifications. It also includes a feedback and rectification mechanism for triggering causes of high-risk delays, and dynamically adjusts monitoring frequency based on component importance and supplier credit, achieving coordinated management of component supply and project cycle. This invention solves problems such as delayed component supply, unintelligent progress monitoring, and delayed supply risk warnings in traditional engineering projects, improving the automation, precision, and risk controllability of the supply link in BIM full-cycle management, ensuring continuous and stable construction progress, and reducing the risk of project delays.

[0178] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0179] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0180] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0181] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0182] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. A BIM-based project lifecycle management method, characterized in that, include: Obtain component demand data for engineering construction and corresponding supplier capability data for each component; The supplier's periodic supply capacity score is obtained based on supplier capability data processing; Select the intended suppliers and corresponding supply volume data for each component based on component demand data, supplier capability data, and cycle supply capability scores; The current progress data of the components supplied by the supplier is obtained according to the preset cycle, and the cycle pressure data is calculated based on the supply data, the current progress data and the component demand data. The component supply status is obtained by comparing the cyclical pressure data with the preset supply status assessment threshold. Match the corresponding supply progress notification according to the component supply status.

2. The BIM-based project cycle management method according to claim 1, characterized in that, The acquisition of component demand data and corresponding supplier capability data for the engineering construction specifically includes: Obtain component demand data for the project construction based on the preset BIM model, including component model data, component demand quantity, and corresponding standard supply cycle data; Obtain supplier capability data for each component, including production capacity data and historical fulfillment service data for a preset time period; Production capacity data includes production component model data and corresponding maximum production capacity data. Historical performance service data includes the quality pass rate, on-time delivery rate and service evaluation data of delivered components within a preset time period.

3. The BIM-based project cycle management method according to claim 2, characterized in that, The process of obtaining the supplier's periodic supply capacity score based on supplier capability data processing specifically includes: Normalized capacity data is obtained by normalizing the maximum capacity data of each supplier. The cycle supply capacity score is obtained by weighting and summing normalized capacity data, quality pass rate, on-time delivery rate and service evaluation data with preset weighting coefficients.

4. The BIM-based project cycle management method according to claim 3, characterized in that, The selection of potential suppliers and corresponding supply volume data for each component based on component demand data, supplier capability data, and periodic supply capability scores specifically includes: Match component model data with production component model data to obtain catalog suppliers, and sort the catalog suppliers in descending order of their periodic supply capacity points to obtain sequential suppliers; The supplier matching status is obtained by comparing the cycle supply capacity score with the preset supplier matching status assessment threshold, including qualified suppliers or unqualified suppliers, and qualified suppliers are selected as potential suppliers. The component supply ratio of any potential supplier is obtained by comparing its periodic supply capacity score with the sum of the periodic supply capacity scores of all potential suppliers. Multiply the component demand quantity by the component supply share data to obtain the supplier's preliminary supply volume data; The preliminary supply data is compared with the maximum capacity data of the corresponding supplier. If the maximum capacity data is greater than or equal to the preliminary supply data, the preliminary supply data is marked as the supply data.

5. The BIM-based project cycle management method according to claim 4, characterized in that, The step of obtaining current progress data of supplier-supplied components according to a preset cycle, and calculating cycle pressure data based on supply volume data, current progress data, and component demand data, specifically includes: The current progress data of the components supplied by the supplier is obtained according to the preset cycle, including the current completed supply data and the current working time data; The current completed supply data, supply volume data, current working hours data, and standard supply cycle data are input into the preset cycle pressure assessment model to obtain cycle pressure data.

6. The BIM-based project cycle management method according to claim 5, characterized in that, The step of comparing the periodic pressure data with a preset supply status assessment threshold to obtain the component supply status specifically includes: The preset supply status assessment thresholds include a first threshold and a second threshold, and the first threshold is greater than the second threshold; The cyclic pressure data is compared with the first and second thresholds to obtain the component supply status. If the periodic pressure data is greater than or equal to the first threshold, then the component supply status is a high-risk state of lag. If the periodic pressure data is greater than or equal to the second threshold and less than the first threshold, then the component supply status is normal. If the periodic pressure data is less than the second threshold, the component supply status is in an advanced state.

7. The BIM-based project cycle management method according to claim 6, characterized in that, The matching of corresponding supply progress notifications based on the component supply status specifically includes: If the component supply status is normal or ahead of schedule, then send the normal or ahead of schedule status to the supplier and management terminal. If the component supply status is in a high-risk delayed state, a reason feedback notification will be sent to the supplier. Based on the reasons provided by the suppliers, corresponding corrective measures will be implemented, including setting a deadline for rectification or adjusting the quantity supplied by the suppliers.

8. A BIM-based project lifecycle management system, characterized in that, It includes a memory and a processor. The memory includes a BIM-based project cycle management method program. When the BIM-based project cycle management method program is executed by the processor, it performs the following steps: Obtain component demand data for engineering construction and corresponding supplier capability data for each component; The supplier's periodic supply capacity score is obtained based on supplier capability data processing; Select the intended suppliers and corresponding supply volume data for each component based on component demand data, supplier capability data, and cycle supply capability scores; The current progress data of the components supplied by the supplier is obtained according to the preset cycle, and the cycle pressure data is calculated based on the supply data, the current progress data and the component demand data. The component supply status is obtained by comparing the cyclical pressure data with the preset supply status assessment threshold. Match the corresponding supply progress notification according to the component supply status.

9. The BIM-based project lifecycle management system according to claim 8, characterized in that, The acquisition of component demand data and corresponding supplier capability data for the engineering construction specifically includes: Obtain component demand data for the project construction based on the preset BIM model, including component model data, component demand quantity, and corresponding standard supply cycle data; Obtain supplier capability data for each component, including production capacity data and historical fulfillment service data for a preset time period; Production capacity data includes production component model data and corresponding maximum production capacity data. Historical performance service data includes the quality pass rate, on-time delivery rate and service evaluation data of delivered components within a preset time period.

10. The BIM-based project lifecycle management system according to claim 9, characterized in that, The process of obtaining the supplier's periodic supply capacity score based on supplier capability data processing specifically includes: Normalized capacity data is obtained by normalizing the maximum capacity data of each supplier. The cycle supply capacity score is obtained by weighting and summing normalized capacity data, quality pass rate, on-time delivery rate and service evaluation data with preset weighting coefficients.

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