Bridge construction visual management method and system based on BIM
By adopting a BIM-based visual management approach for bridge construction, quantitative analysis and visual display of construction progress, cost, and quality have been achieved. This addresses the shortcomings of existing systems in comprehensive analysis and early warning, and improves the efficiency of bridge construction management and the targeted nature of risk management.
Patent Information
- Application Number
- CN202511979234.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-25
- Publication Date
- 2026-03-20
AI Technical Summary
Existing BIM-based bridge construction management systems are inadequate in terms of comprehensive analysis and early warning, failing to meet the needs of administration, commerce, finance, management, and supervision, and lacking information visualization and decision support.
The BIM-based bridge construction visualization management method, through data acquisition, model management, calculation and analysis, and early warning visualization modules, enables quantitative analysis and visualization of construction progress deviations, cost deviations, and quality risk coefficients, and establishes a scientific hierarchical early warning mechanism.
It enables comprehensive and accurate assessment of construction progress, cost, and quality, provides an intuitive early warning mechanism, improves the efficiency of project management and the pertinence of risk management, and ensures that the project proceeds as planned.
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Figure CN121707353A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of bridge construction visual management, and particularly relates to a bridge construction visual management method and system based on BIM. BACKGROUND
[0002] In the field of bridge construction, the traditional management mode faces many challenges. With the continuous expansion of the scale of bridge engineering and the increasing complexity of the structure, the construction process involves numerous participants and massive information. The traditional information communication and management means are inefficient, and problems such as untimely and inaccurate information transmission are prone to occur.
[0003] In the progress management aspect, it is difficult to intuitively and accurately grasp the difference between the actual progress and the planned progress, and it is impossible to timely discover potential progress delay risks, which leads to the extension of the project period. In terms of cost management, due to the lack of effective data integration and analysis methods, it is difficult to comprehensively evaluate the reasons for cost deviation, and measures are often taken after the cost is over budget, resulting in resource waste. In addition, in terms of quality management, the evaluation of quality risks relies on experience and lacks scientific and quantitative evaluation methods, making it difficult to timely discover quality hidden dangers and affecting the long-term use safety of the bridge.
[0004] With the development of information technology, the application of information and communication technology in engineering management has become a trend. The emergence of BIM technology brings new ideas and methods for bridge construction management. BIM model can integrate various information in the construction process and realize visual management. However, the existing bridge construction management system based on BIM still has deficiencies in comprehensive analysis and early warning in combination with construction progress, cost and quality, and cannot meet the needs of administration, business, finance, management and supervision. SUMMARY
[0005] The technical problem to be solved by the present application is that the existing technology lacks comprehensive quantitative analysis, the early warning mechanism is imperfect, and the information visualization and decision support are insufficient. Therefore, we propose a bridge construction visual management method and system based on BIM.
[0006] The technical scheme mainly comprises the following steps:
[0007] S1, the data acquisition module is connected with various sensors, monitoring devices and enterprise management systems through an interface, and simultaneously performs automatic data acquisition and transmission;
[0008] S2, the collected data is associated with the BIM model of the model management module, and at the same time, the query, browsing and analysis functions of the model are provided;
[0009] S3, based on S1-S2 on the collection of data, and using the calculation analysis module, in turn, the output construction progress deviation PT, cost deviation PC and quality risk coefficient F are calculated;
[0010] S4, using the early warning visualization module, the results of the quality risk coefficient F are early warned for low, medium and high risks, and the early warning display is visualized.
[0011] Preferably, based on the calculation formula of the construction progress deviation PT of S3 is as follows:
[0012] PT=JT-ST;
[0013] Wherein:
[0014] PT is the construction progress deviation, PT reflects the progress deviation degree of the number of days between the current actual construction and the planned construction;
[0015] PT is positive, indicating that the progress is ahead of schedule, and PT is negative, indicating that the progress is behind schedule;
[0016] JT is the planned progress, JT reflects the planned number of days corresponding to the planned completion of the current actual construction workload, and is obtained by the planned construction task arrangement and workload estimation in the BIM model;
[0017] ST is the actual progress, ST reflects the planned number of days corresponding to the actual completion of the current actual construction workload, and is obtained by the actual construction record and time statistics on site.
[0018] Preferably, based on the calculation formula of the cost deviation PC of S3 is as follows:
[0019] PC=PT×PL+SC-JC;
[0020] Wherein:
[0021] PC is the cost deviation, PC reflects the deviation degree of the cost amount between the current actual construction and the planned construction;
[0022] PC is positive, indicating that the cost is over budget, and PC is negative, indicating that the cost is saved;
[0023] PL is the cost change rate, PL reflects the daily cost change rate caused by the progress deviation;
[0024] SC is the actual cost, SC is obtained by financial record statistics;
[0025] JC is the planned cost, JC is obtained according to the budget of the construction task in the BIM model;
[0026] The actual cost SC does not include PT*PL, and PT*PL reflects the sum of various costs naturally generated in the construction process. In addition to this part of the cost, which is the additional cost change caused by the construction progress deviation PT, including the overtime cost of additional personnel and equipment, and the cost of rush measures.
[0027] Preferably, the cost change rate PL is calculated based on historical data of completed bridge construction projects of the same type. In the calculation, it is necessary to ensure that the selected historical data has similarity in construction type, scale, process, personnel allocation, and market environment. The specific calculation formula is as follows: ;
[0028] Wherein, N is the number of historical projects, SC i is the actual cost of the i th project, and is the planned cost of the i th project.
[0029] Preferably, the calculation formula of the quality risk coefficient F based on S3 is as follows:
[0030] ;
[0031] Wherein:
[0032] F is the quality risk coefficient;
[0033] q is the quality feedback factor, and the value range of q is 0-1;
[0034] The on-site quality inspection report and material detection report show good, and the value of q is close to 0;
[0035] The on-site quality inspection report and material detection report show poor, and the value of q is close to 1;
[0036] The absolute value of PC is to consider the effect of the size of cost deviation on quality risk, to avoid the calculation interference caused by different signs, and the root calculation can avoid the influence of the result value, i.e. F is affected by too large and too small fluctuations.
[0037] Preferably, based on S4, and the specific performance of the quality risk coefficient F reflecting low, medium and high risk is as follows:
[0038] If 0<F≤0.10, it shows that the current construction is at a low risk level;
[0039] If 0.1<F≤0.3, it is a warning and shows that the current construction is at a medium risk level;
[0040] If F>0.3, it is a warning and shows that the current construction is at a high risk level.
[0041] The bridge construction visual management system based on BIM includes a data collection module, a model management module, a calculation analysis module, and a warning visualization module.
[0042] The data collection module is responsible for collecting various data from the construction site, including progress data, quality data, and cost data.
[0043] The model management module is responsible for creating, maintaining, and updating the BIM model.
[0044] The calculation analysis module is responsible for calculating the construction progress deviation PT, the cost deviation PC, and the quality risk coefficient F in S3.
[0045] The warning visualization module is responsible for warning and displaying the results of the quality risk coefficient F.
[0046] Preferably, the progress data includes planned progress JT and actual progress ST.
[0047] The quality data includes a quality feedback factor q.
[0048] The cost data includes a cost change rate PL, an actual cost SC, and a planned cost JC.
[0049] The technical effects and advantages of the present application are as follows:
[0050] In the present application, the system uses the calculation analysis module to realize comprehensive quantitative analysis of the construction progress deviation PT, the cost deviation PC, and the quality risk coefficient F. Specifically, the construction progress deviation PT can clearly reflect the progress status. Secondly, the progress deviation is combined with the cost change to calculate the cost deviation PC to clearly identify the reasons for cost overruns and savings. Finally, the cost deviation PC and the quality feedback factor q are combined to quantify the quality risk coefficient F. This comprehensive analysis method can comprehensively and accurately evaluate the overall status of the bridge construction project and discover potential problems in advance.
[0051] In the present application, the system sets a scientific grading warning mechanism according to the quality risk coefficient F. When 0.1 < F ≤ 0.3, it is determined as medium risk, and timely warning is issued to remind attention to the quality status and strengthen quality inspection and control measures. When F > 0.3, it is determined as high risk, and a higher level of warning is issued to prompt immediate emergency measures. This grading warning mechanism can supervise and warn according to the risk level, improving the efficiency of risk management.
[0052] In addition, the visualization based on the BIM model is deeply integrated with the formula calculation result, and the construction progress deviation PT, the cost deviation PC and the quality risk coefficient F information are intuitively displayed on the BIM model, and are identified by different colors and icons, so that administrative, commercial, financial, management and supervisory personnel can quickly obtain key information from the visual model and understand the state of each part of the project. BRIEF DESCRIPTION OF DRAWINGS
[0053] Figure 1 A method flowchart of the bridge construction visual management method;
[0054] Figure 2 A schematic diagram of the overall structure of the bridge construction visual management system. DETAILED DESCRIPTION
[0055] The application will be further described in detail in combination with the drawings and preferred embodiments.
[0056] Referring to Figure 1 and Figure 2 , the application provides a technical solution: a bridge construction visual management method based on BIM, specifically including the following steps:
[0057] S1, the data acquisition module is connected with various sensors, monitoring devices and enterprise management systems through an interface, and simultaneously performs automatic data acquisition and transmission;
[0058] S2, the collected data is associated with the BIM model of the model management module, and meanwhile, the model query, browsing and analysis functions are provided;
[0059] S3, based on the data acquisition of S1-S2, the construction progress deviation PT, the cost deviation PC and the quality risk coefficient F are sequentially calculated and output by using the calculation analysis module;
[0060] S4, the quality risk coefficient F result is used to perform low, medium and high risk early warning and visual early warning display by using the early warning visualization module.
[0061] In the embodiment, the data collection module collects various types of basic data and real-time data of the bridge construction, creates a BIM three-dimensional model by using the model management module, and associates relevant information to form a visual construction information model, which provides a basis for subsequent management, and according to the BIM model and the field data, the calculation and analysis module is used to calculate the construction progress deviation PT, the cost deviation PC and the quality risk coefficient F in turn, and based on the setting of different quality risk level thresholds and the calculated quality risk coefficient F, the risk level is judged, the corresponding supervision and early warning is triggered, and the risk is prompted in time. In addition, the calculation results and early warning information are visualized by the BIM model, which intuitively presents the project progress, cost and quality status, and provides decision basis for administrative, commercial, financial, management and supervision personnel, helping them to take measures to optimize project management in time.
[0062] Referring to Figure 1 In the embodiment, the calculation formula of the construction progress deviation PT based on S3 is as follows:
[0063] PT = JT - ST;
[0064] Wherein:
[0065] PT is the construction progress deviation, which reflects the progress deviation degree of the number of days between the current actual construction and the planned construction;
[0066] PT is positive, indicating that the progress is ahead of schedule, and PT is negative, indicating that the progress is behind schedule;
[0067] JT is the planned progress, which reflects the planned number of days corresponding to the planned completion of the current actual construction workload, and is obtained by the planned construction task arrangement and workload estimation in the BIM model;
[0068] ST is the actual progress, which reflects the planned number of days corresponding to the actual completion of the current actual construction workload, and is obtained by the actual construction records and time statistics in the field.
[0069] In the embodiment, the calculation of JT-ST can clearly and intuitively reflect the difference between the actual progress ST and the planned progress JT of the bridge construction, so as to help to grasp the construction progress state in time, judge whether the progress is ahead of schedule or behind schedule, and take corresponding measures for adjustment. The time JT corresponding to the planned completion of the workload is subtracted from the time ST corresponding to the actual completion of the workload, which is a direct comparison based on the time dimension. The planned progress JT represents the expected construction rhythm, and the actual progress ST reflects the real progress of the construction. The difference between the two can directly obtain the number of days of the progress deviation. This calculation part provides key data for subsequent analysis of the construction progress state, and can evaluate the influence of the progress deviation on the whole project duration according to the size and sign of the construction progress deviation PT, and then decide whether to adjust the construction plan, increase resource input and optimize the construction process;
[0070] A positive schedule deviation (PT) indicates that the project is ahead of schedule, while a negative value indicates that the project is behind schedule. This allows for a quick understanding of whether the construction progress is faster or slower than expected, providing a clear basis for subsequent decision-making. Clear schedule deviation information helps administrative, commercial, financial, management, and supervisory personnel to make timely decisions. Specifically, administrative departments can use this information to allocate resources to ensure that the project progresses as planned, commercial enterprises can adjust the performance evaluation of the construction team based on the schedule deviation, financial institutions can assess the impact of schedule deviation on loan risk, and management and supervisory personnel can strengthen the monitoring and management of the lagging parts of the schedule to avoid project delays due to schedule issues.
[0071] Schedule deviation (PT) is an important input parameter for calculating cost deviation (PC). It lays the foundation for a comprehensive analysis of the relationship between cost and schedule, enabling cost analysis to fully consider the impact of schedule factors and improve the accuracy and effectiveness of cost management.
[0072] Reference Figure 1 As shown in this implementation scheme, the formula for calculating cost deviation PC based on S3 is as follows:
[0073] PC = PT × PL + SC - JC;
[0074] in:
[0075] PC stands for Cost Deviation, which reflects the degree of deviation between the actual construction cost and the planned construction cost.
[0076] A positive PC value indicates cost overrun, while a negative PC value indicates cost savings.
[0077] PL stands for Cost Change Rate, which reflects the rate of change in daily costs due to schedule deviations.
[0078] SC represents the actual cost, which is derived from financial records.
[0079] JC is the planned cost, which is derived from the budget of the construction tasks in the BIM model;
[0080] The actual cost SC does not include PT×PL, and PT×PL reflects the total of various costs that naturally arise during the construction process. This part of the cost is due to the additional cost changes caused by the construction schedule deviation PT, including additional personnel and equipment overtime costs, as well as the cost of expedited measures.
[0081] The cost change rate (PL) is calculated by statistically analyzing historical data from completed bridge construction projects of the same type. When calculating this rate, it is necessary to ensure that the selected historical data are similar in terms of construction type, scale, technology, personnel allocation, and market environment. The specific calculation formula is as follows: ;
[0082] wherein N is the historical project quantity, SC i is the actual cost of the ith project, and JC is the planned cost of the ith project.
[0083] In this embodiment, PT reflects the construction progress deviation in the PTxPL calculation part, and PL is the cost change rate. The multiplication of the two is because the progress deviation will affect the cost according to a certain daily cost change rate. Through this multiplication operation, the additional cost or cost savings due to the progress deviation can be quantified. The result obtained by the PTxPL calculation part is the cost change value caused by the progress deviation. Specifically, if the progress is lagging, that is, the construction progress deviation PT is negative and the cost change rate PL is positive, then the PTxPL calculation part is negative, indicating that the cost is additionally increased due to the progress lag. On the contrary, if the progress is ahead, that is, the construction progress deviation PT is positive and the cost change rate PL is positive, then the PTxPL calculation part is positive, indicating that the cost is saved due to the progress ahead. The PTxPL calculation part is the key to distinguish from the simple comparison of the actual cost SC and the planned cost JC. It separates the impact of progress on cost, making the cost deviation analysis more comprehensive and accurate.
[0084] The SC-JC calculation part directly subtracts the planned cost JC from the actual cost SC, which is the most basic cost comparison method. It can intuitively reflect the difference between the actual cost SC and the planned cost JC without considering the impact of progress deviation. The result obtained is simply the difference between the actual cost SC and the planned cost JC. It can preliminarily determine whether the cost is over budget or saved. If the SC-JC calculation part is positive, it means that the actual cost SC is higher than the planned cost JC, and there is a cost overrun. If the SC-JC calculation part is negative, it means that the actual cost SC is lower than the planned cost JC, and there is a cost saving. This is the basic part of the calculation of the cost deviation PC, which provides a basic reference for the analysis of the overall cost deviation PC. In combination with the PTxPL calculation part, it can more comprehensively reflect the composition of the cost deviation PC, helping to find out the real reason for the cost change, whether it is caused by progress problems or other factors in the construction process.
[0085] For commercial enterprises, by calculating the cost deviation PC, the reasons for the cost deviation can be deeply analyzed to decide whether to adjust the construction strategy, replace the supplier, optimize the allocation of resources to reduce the cost. Financial institutions can assess project funding risks based on the cost deviation PC to adjust the loan amount and interest rate. Management and supervision personnel can review the rationality of financial expenditure based on this to strengthen cost control and ensure that the project is completed within the budget.
[0086] Cost Variance PC II establishes a quantitative link between schedule and cost, enabling administrative, commercial, financial, management, and supervisory personnel to recognize the impact of schedule changes on costs. This helps to balance the relationship between schedule and cost in project management, avoiding the pursuit of schedule at the expense of cost increases, and preventing schedule delays caused by excessive cost control.
[0087] Reference Figure 1 As shown in this implementation scheme, the formula for calculating the quality risk coefficient F based on S3 is as follows:
[0088] ;
[0089] in:
[0090] F represents the quality risk coefficient;
[0091] q is the quality feedback factor, and the value of q ranges from 0 to 1;
[0092] The on-site quality inspection report and material testing report show good results, with the q value close to 0;
[0093] The on-site quality inspection report and material testing report show poor results, with q values close to 1.
[0094] The absolute value of PC is used to uniformly consider the impact of cost deviation on quality risk, avoid calculation interference caused by different signs, and the square root calculation can avoid the result value, i.e., F, being affected by excessively large or small fluctuations.
[0095] Based on S4, the specific manifestations of low, medium, and high risk reflecting the quality risk coefficient F are as follows:
[0096] If 0 < F ≤ 0.10, then the current construction is considered to be at a low risk level.
[0097] If 0.1 < F ≤ 0.3, an early warning will be issued and the current construction will be indicated as a medium-risk level.
[0098] If F > 0.3, an alert will be issued and the current construction will be displayed as a high-risk level.
[0099] In this embodiment, In In the calculation section, the absolute value of cost deviation PC is used because the formula for calculating cost deviation PC focuses on the magnitude of cost deviation, not whether it is an overspending or a saving. The cost deviation PC is divided by the planned cost JC to normalize the cost deviation PC, eliminate the influence of different project planned cost differences on the result, make the cost deviation degree of different projects comparable, and obtain a result reflecting the proportion of the cost deviation PC relative to the planned cost JC. The larger the proportion, the higher the degree of cost deviation from the plan, which implies that there are problems in resource management, construction efficiency, etc. of the project, which will indirectly affect the engineering quality. q is a quality feedback factor that comprehensively considers the information of the field quality inspection report and the material detection report, and is calculated by the formula: q = (1 - PC) / JC The quality feedback factor q is multiplied by the calculation part because the quality feedback factor q can correct the risk based on the cost deviation PC. The result is an intermediate value that considers the cost deviation PC and the quality feedback factor, and preliminarily reflects the potential level of project quality risk.
[0100] The square root is mainly used to adjust the scale of the calculation result reasonably, The calculation result will fluctuate greatly due to the different value ranges of 、 and The square root can adjust the value to a more suitable range, making the value of the quality risk coefficient F more meaningful and comparable. At the same time, the square root can also balance the comprehensive influence of each factor on the quality risk to some extent, avoid the excessive influence of some factors with large or small values on the result, and make the quality risk assessment more scientific and accurate. If the square root operation is not performed, when is large, the calculated quality risk coefficient will also be large, making it difficult to intuitively determine the quality risk level. After the square root operation, the result can more reasonably reflect the actual situation of the quality risk.
[0101] The quality risk coefficient F considers multiple factors such as the cost deviation PC, the planned cost JC, and the quality feedback factor q. By calculating the quality risk coefficient F, the quality risk assessment is no longer dependent on subjective experience, but is based on objective data, providing an accurate basis for project quality control. Based on the calculated quality risk coefficient F, the system can perform different levels of supervision and warning according to the settings 0 < F ≤ 0.10, 0.1 < F ≤ 0.3, and F > 0.3. This grading warning mechanism helps administrative, commercial, financial, management, and supervisory personnel to timely understand the degree of project quality risk, and takes corresponding control measures for different risk levels, improving the pertinence and effectiveness of quality management.
[0102] The quality risk coefficient F combines the cost factor with the quality feedback, reflects the internal relationship between the cost management and the quality management, prompts the parties of the project to pay attention to the quality while focusing on the cost, and promotes the parties to pay more attention to the overall quality management in the whole life cycle of the project, balance the relationship between the cost, the quality and the schedule, and ensure the realization of the overall goal of the project.
[0103] In addition, when the calculated quality risk coefficient F is high, it indicates that the quality risk of the project is large, at this time, according to the cyclic influence mechanism, the planned progress JT corresponding to the planned completed work quantity is adjusted in the calculation formula of the cost deviation PC, and the dynamic adjustment can make the progress plan more reasonable, fully consider the potential influence of quality control on the progress, avoid ignoring the quality due to pursuing the progress, and finally lead to the progress delay caused by the quality problem, through the cyclic influence of the quality risk coefficient F on the planned progress JT, the dynamic balance relationship between the construction progress, the cost and the quality is established, the mutual action of the three factors needs to be considered comprehensively by the personnel in the management process, the project management strategy is continuously optimized, and then the project is promoted in the direction of high quality and high efficiency, the cyclic influence mechanism is helpful to improve the sustainability of the bridge construction project, the progress plan is reasonably adjusted to guarantee the quality, the additional work caused by the quality problem in the later period is reduced, the resource waste and the environmental influence are reduced, meanwhile, it is also helpful to improve the long-term reliability and the safety of the project, and provides a better basis for the operation and maintenance of the bridge.
[0104] It should be noted that any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application should also be within the protection scope of the present application.
Claims
1. A BIM-based method for visual management of bridge construction, characterized in that, Specifically, the steps include the following: S1. The data acquisition module connects to various sensors, monitoring equipment, and enterprise management systems through interfaces, and performs automatic data acquisition and transmission. S2. Associate the collected data with the BIM model in the model management module, and provide model query, browsing and analysis functions; S3. Based on the data collected from S1-S2, and using the calculation and analysis module, calculate and output the construction progress deviation PT, cost deviation PC, and quality risk coefficient F in sequence. S4. Using the early warning visualization module, provide early warnings for low, medium, and high risks based on the quality risk coefficient F, and display the early warnings in a visual manner.
2. The BIM-based bridge construction visualization management method according to claim 1, characterized in that: The formula for calculating the construction schedule deviation PT based on S3 is as follows: PT = JT - ST; in: PT stands for Construction Schedule Deviation, which reflects the degree of deviation between the current actual construction and the planned construction in terms of the number of days. A positive PT value indicates that the schedule is ahead of schedule, while a negative PT value indicates that the schedule is behind schedule. JT stands for Planned Schedule. JT reflects the planned number of days required to complete the current actual construction work, and is derived from the planned construction task arrangement and workload estimation in the BIM model. ST represents the actual progress, reflecting the planned number of days corresponding to the actual completion of the current construction work, and is derived from actual on-site construction records and time statistics.
3. The BIM-based bridge construction visualization management method according to claim 2, characterized in that: The formula for calculating cost deviation PC based on S3 is as follows: PC = PT × PL + SC - JC; in: PC stands for Cost Deviation, which reflects the degree of deviation between the actual construction cost and the planned construction cost. A positive PC value indicates cost overrun, while a negative PC value indicates cost savings. PL stands for Cost Change Rate, which reflects the rate of change in daily costs due to schedule deviations. SC represents the actual cost, which is derived from financial records. JC is the planned cost, which is derived from the budget of the construction tasks in the BIM model; The actual cost SC does not include PT×PL, and PT×PL reflects the total of all expenses that naturally arise during the construction process. This part of the cost is due to the additional cost changes caused by the construction schedule deviation PT, including additional personnel and equipment overtime costs, as well as the cost of expedited measures.
4. The BIM-based bridge construction visualization management method and system according to claim 3, characterized in that: The cost change rate PL is calculated by statistically analyzing historical data from completed bridge construction projects of the same type. During the calculation, it is necessary to ensure that the selected historical data are similar in terms of construction type, scale, technology, personnel allocation, and market environment. The specific calculation formula is as follows: ; Where N represents the number of historical projects, SC i Let be the actual cost of the i-th project, and be the planned cost of the i-th project.
5. The BIM-based bridge construction visualization management method and system according to claim 3, characterized in that: The formula for calculating the quality risk coefficient F based on S3 is as follows: ; in: F represents the quality risk coefficient; q is the quality feedback factor, and the value of q ranges from 0 to 1; The on-site quality inspection report and material testing report show good results, with the q value close to 0; The on-site quality inspection report and material testing report show poor results, with q values close to 1. The absolute value of PC is used to uniformly consider the impact of cost deviation on quality risk, avoid calculation interference caused by different signs, and the square root calculation can avoid the result value, i.e., F, being affected by excessively large or small fluctuations.
6. The BIM-based bridge construction visualization management method according to claim 5, characterized in that: Based on the aforementioned S4, the specific manifestations of the quality risk coefficient F being low, medium, or high risk are as follows: If 0 < F ≤ 0.10, then the current construction is considered to be at a low risk level. If 0.1 < F ≤ 0.3, an early warning will be issued and the current construction will be indicated as a medium-risk level. If F > 0.3, an alert will be issued and the current construction will be displayed as a high-risk level.
7. A BIM-based bridge construction visual management system that implements the BIM-based bridge construction visual management method according to any one of claims 1-6, characterized in that, It includes a data acquisition module, a model management module, a calculation and analysis module, and an early warning visualization module; The data acquisition module is responsible for collecting various data from the construction site, including progress data, quality data, and cost data. The model management module is responsible for creating, maintaining, and updating BIM models; The calculation and analysis module is responsible for performing the calculations of construction schedule deviation PT, cost deviation PC, and quality risk coefficient F in S3; The early warning visualization module is responsible for providing early warnings and displaying the results of the quality risk coefficient F.
8. The BIM-based bridge construction visual management system according to claim 7, characterized in that: The progress data includes planned progress JT and actual progress ST; The quality data includes the quality feedback factor q; The cost data includes the cost change rate PL, actual cost SC, and planned cost JC.
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