Dynamic management method of architectural design process based on BIM

Abstract

The present invention discloses a method for dynamic management of building design processes based on BIM, which belongs to the technical field of building design process management. The method utilizes a dynamic collection module to collect basic information related to the dynamic management of the current project process. The calculation and evaluation module receives the basic information and first calculates and outputs a design efficiency evaluation value SL and a quality control parameter K based on the basic information, and then outputs a design quality adjustment value ZT and a design cost optimization value CBY based on the basic information. The trend analysis module plots and analyzes the trend change of the design quality adjustment value ZT, and the visualization module displays the plotting and analysis results and makes decisions. The calculation and evaluation module includes a unit for evaluating the efficiency of the current design process, a unit for measuring the degree of improvement of the design quality, and a unit for measuring the effect after optimization. The present invention realizes data integration and sharing, quantitative evaluation and optimization, real-time feedback of quality control parameters, coordination of cost and time optimization, and visual monitoring and decision support.

Description

Technical Field

[0001] The present invention relates to the technical field of building design process management, and in particular to a building design process dynamic management method based on BIM. Background Art

[0002] In the field of architectural design, traditional process management methods often rely on static plans and fixed processes, which are difficult to adapt to the dynamic changes in projects. With the rise of building information modeling technology, the management of architectural design processes has begun to develop in a more dynamic and flexible direction. BIM technology integrates all relevant information of construction projects and provides strong data support for the design, construction, and operation stages. However, how to effectively use BIM technology to achieve dynamic management of architectural design processes is still a problem that needs to be solved urgently.

[0003] With respect to the above-mentioned and existing related technologies, the inventors believe that the following defects often exist: First, the existing technologies often adopt static process management methods, which are difficult to adapt to the dynamic changes in the project needs, which leads to the lack of flexibility in the design process and the inability to adjust and optimize in time. Although BIM technology provides rich data support, the existing technologies often have data island problems, that is, data at different stages cannot be effectively integrated and shared, which limits the application effect of BIM technology in design process management. Secondly, the existing technologies lack quantitative evaluation methods and cannot accurately measure the efficiency, quality and cost performance of the design process, which leads to the lack of scientific basis for the optimization of the design process. In addition, since there are certain similarities between different projects, if the evaluation management in this aspect is added, it will greatly enhance the dynamics of management, but the existing technologies do not guide the optimization of the design process accordingly. Summary of the Invention

[0004] The technical problem to be solved by this invention is that the existing technology has the shortcomings of static process management, data silos, lack of quantitative evaluation and reference of historical data. To this end, we propose a dynamic management method for architectural design process based on BIM.

[0005] The technical solution is mainly: dynamic management method of architectural design process based on BIM. The specific dynamic management steps are as follows:

[0006] Step 1: Use the dynamic collection module to collect basic information related to the dynamic management of the current project process. The basic information includes the number of designers SR, average load F, total workload WG, project difficulty coefficient N, resource utilization ZL, and the maximum number of designers SR. max , Maximum design cost CY max , as well as the defect rate, success rate, customer satisfaction, quality cost and project difficulty coefficient N of previously completed similar projects;

[0007] Step 2: The calculation and evaluation module receives basic information and first calculates and outputs the design efficiency evaluation value SL and the quality control parameter K based on it. Then, it calculates and outputs the design quality adjustment value ZT and the design cost optimization value CBY based on this;

[0008] Step 3: The trend analysis module plots and analyzes the trend change of the design quality adjustment value ZT;

[0009] Step 4: The visualization module displays the drawing and analysis results and makes decisions;

[0010] The calculation and evaluation module includes a unit for evaluating the efficiency of the current design process, a unit for measuring the degree of improvement of the design quality, and a unit for measuring the effect after optimization;

[0011] The equipment used in the dynamic collection module includes sensors, scanners, data acquisition equipment, and data storage equipment;

[0012] The equipment used in the calculation and evaluation module includes computers, software, and data processing equipment;

[0013] The equipment used by the trend analysis module includes visual analysis equipment;

[0014] The equipment used in the visualization module includes a large-screen display and a projector.

[0015] Preferably, the calculation formula for evaluating the efficiency unit of the current design process is as follows:

[0016] ;

[0017] F=WG / SR;

[0018] ZL=SZ / ZZ;

[0019] in:

[0020] SL is the design efficiency evaluation value;

[0021] SR is the number of designers, and SR represents the total number of people involved in the design;

[0022] SR0 is the baseline number of designers, which indicates the total number of people originally planned to participate in the design of the current project;

[0023] F is the average load, which means the average workload of each designer.

[0024] F0 is the average benchmark load, which represents the average workload that each designer is required to undertake in the current project;

[0025] WG is the total workload, which reflects the workload completed under the current design process;

[0026] N is the project difficulty coefficient, which indicates the complexity of the design project and has a value range of {0.1-1}, where 0.1 indicates a low difficulty level and 1 indicates a high difficulty level.

[0027] ZL is the resource utilization rate, which indicates the effective utilization degree of resources in the current design process;

[0028] SZ is effective resource volume, ZZ is total resource volume;

[0029] T is the time cost, T represents the time spent in the current design process;

[0030] T0 is the baseline time cost, which represents the time originally planned for the current design process;

[0031] Calculate median values ​​reflecting design process efficiency and resource utilization;

[0032] Half of the time cost T is used to adjust the value of SL to reflect the impact of time on design efficiency, and the higher T is, the lower SL is;

[0033] A high value of SL indicates that the design process is efficient, cost-effective, and has a high success rate;

[0034] A low value of SL indicates that there are problems in the design process and that it is necessary to optimize the time cost T and adjust the design process itself.

[0035] Preferably, the calculation formula for the unit for measuring the degree of improvement of design quality is as follows:

[0036] ;

[0037] in:

[0038] ZT is the design quality adjustment value;

[0039] SR max is the maximum number of designers;

[0040] K is a quality control parameter, which represents the average effectiveness of quality control measures in the previously completed design process, including the number of designers SR, average load F, total workload WG, project difficulty coefficient N, and resource utilization ZL;

[0041] R is the workload rate per unit time, which means the workload that can be completed per person per hour;

[0042] To evaluate and predict the impact of project difficulty on design quality adjustments;

[0043] A high value of ZT reflects that the design quality and cost control capabilities are within the controllable range;

[0044] Low values ​​of ZT indicate issues that require attention in terms of design quality.

[0045] Preferably, the calculation formula for measuring the optimization effect unit is as follows:

[0046] ;

[0047] in:

[0048] CBY is the design cost optimization value;

[0049] CY max is the maximum design cost, CY max Indicates the maximum cost budget predicted for the current design project;

[0050] C is the time cost rate, C represents the cost expenditure per hour;

[0051] Used to evaluate the quality-adjusted optimization potential of design costs based on the currently calculated design efficiency.

[0052] Preferably, the dynamic management analysis based on the design cost optimization value CBY is as follows:

[0053] If the design cost optimization value CBY shows a flat and rising trend on the line graph, it means that the design cost of the current design process has been effectively optimized, and the time cost T of the current design process needs to be rearranged.

[0054] If the design cost optimization value CBY shows a downward trend on the line graph, it indicates that you need to pay attention to cost issues and take other measures to reduce costs in the current design process.

[0055] in:

[0056] Other measures include observing the high and low trend changes of the design efficiency evaluation value SL and the design quality adjustment value ZT respectively, and conducting dynamic management of the corresponding aspects.

[0057] Preferably, the calculation formula of the quality control parameter K is as follows:

[0058] ;

[0059] QL avg The mean defect rate, specifically the average defect rate of similar projects that have been completed previously;

[0060] CL avg The average project success rate, specifically the average success rate of similar projects that have been completed before;

[0061] M avg The average customer satisfaction score is the average customer satisfaction score of similar projects that have been completed.

[0062] LC avg The mean quality cost is the average ratio of additional costs incurred due to quality issues to total costs of similar projects that have been completed previously;

[0063] N avg is the average project difficulty coefficient, specifically the average project difficulty coefficient N of previously completed similar projects;

[0064] Among them, similar projects are projects with the same number of designers SR, average load F, total workload WG, project difficulty coefficient N, and resource utilization rate ZL during the design process.

[0065] Preferably, the number of designers SR, average load F, total workload WG, project difficulty coefficient N, resource utilization ZL, maximum number of designers SR collected and calculated in the current project process max , is the maximum design cost CY max The defect rate, success rate, customer satisfaction, quality cost, design efficiency evaluation value SL, quality control parameter K, design quality adjustment value ZT and design cost optimization value CBY of the current project are automatically stored in the data storage device in the dynamic collection module.

[0066] The technical effects and advantages of the present invention are as follows:

[0067] In the present invention, by designing three interrelated algorithm formulas, dynamic management of the design process is realized, which improves the flexibility and adaptability of the design process, and can timely adjust and optimize the design process to meet the needs of dynamic changes in the project. In addition, based on BIM technology, this method realizes the integration and sharing of data in the design process, breaks the data silos, improves the utilization efficiency and accuracy of data, and provides strong data support for the optimization of the design process.

[0068] In the present invention, quantitative evaluation of the design efficiency evaluation value SL, the design quality adjustment value ZT and the design cost optimization value CBY is achieved through formula calculation, which provides a scientific basis for the optimization of the design process, can accurately identify bottlenecks and potential improvement points, and guide the implementation of optimization measures.

[0069] In the present invention, in the unit for measuring the degree of improvement in design quality, the quality control parameter K is used as one of the key inputs, and it is taken into account that it should be a post-project evaluation of the time, number of people, and difficulty of similar projects that have occurred before. The inclusion of this step enables the quality control parameter K to be fed back to the design process in real time to guide the improvement and optimization of design quality. At the same time, through the circular influence mechanism, the feedback of the quality control parameter K can also affect the design efficiency evaluation value SL and the design cost optimization value CBY, thereby forming a comprehensive and dynamic design process management system.

[0070] In the present invention, the design cost optimization CBY in the optimization effect unit not only considers the design quality adjustment value ZT and resource utilization ZL, but also introduces the time cost T and the maximum design cost CY max This allows cost optimization to be coordinated with time scheduling, thus forming a virtuous cycle of mutual promotion and mutual restraint. By observing the changing trend of design cost optimization CBY, cost overruns and time delays can be discovered in a timely manner, and corresponding optimization measures can be taken to make adjustments.

[0071] In addition, combining line graphs to observe the changing trends of design cost optimization CBY can intuitively display the dynamic changes of the design process, thereby providing an intuitive and clear monitoring method, which can timely discover and solve problems and improve the scientificity and accuracy of decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 This is a flow chart of the dynamic management method for the architectural design process;

[0073] Figure 2 It is a schematic diagram of the overall module structure of the present invention;

[0074] Figure 3 Schematic diagram of the structure of the calculation and evaluation module in the present invention;

[0075] Figure 4 Schematic diagram of the calculation elements of the quality control parameter K in the present invention. DETAILED DESCRIPTION

[0076] The present invention will now be described in further detail with reference to the accompanying drawings and preferred embodiments.

[0077] Reference Figure 1-Figure 4 As shown, the present invention provides a technical solution: a dynamic management method for architectural design process based on BIM, and the specific dynamic management steps are as follows:

[0078] Step 1: Use the dynamic collection module to collect basic information related to the dynamic management of the current project process. The basic information includes the number of designers SR, average load F, total workload WG, project difficulty coefficient N, resource utilization ZL, and the maximum number of designers SR. max , Maximum design cost CY max , as well as the defect rate, success rate, customer satisfaction, quality cost and project difficulty coefficient N of previously completed similar projects;

[0079] Step 2: The calculation and evaluation module receives basic information and first calculates and outputs the design efficiency evaluation value SL and the quality control parameter K based on it. Then, it calculates and outputs the design quality adjustment value ZT and the design cost optimization value CBY based on this;

[0080] Step 3: The trend analysis module plots and analyzes the trend change of the design quality adjustment value ZT;

[0081] Step 4: The visualization module displays the drawing and analysis results and makes decisions;

[0082] The calculation and evaluation module includes a unit for evaluating the efficiency of the current design process, a unit for measuring the degree of improvement in design quality, and a unit for measuring the effect after optimization.

[0083] The equipment used in the dynamic collection module includes sensors, scanners, data acquisition equipment, and data storage equipment;

[0084] The equipment used in the computational assessment module includes computers and software, data processing equipment;

[0085] The equipment used in the trend analysis module includes visual analysis equipment;

[0086] The equipment used in the visualization module includes large-screen displays and projectors;

[0087] The number of designers SR, average load F, total workload WG, project difficulty coefficient N, resource utilization ZL, and maximum number of designers SR collected and calculated by the current project process max , is the maximum design cost CY max ,The defect rate, success rate, customer satisfaction, quality cost of the current project, as well as the design efficiency evaluation value SL, quality control parameter K, design quality adjustment value ZT and design cost optimization value CBY are automatically stored in the data storage device in the dynamic collection module.

[0088] In this embodiment, through the comprehensive application of the above-mentioned method steps, modules and units and the equipment used, dynamic management and optimization of the building design process based on BIM can be achieved, and design efficiency, quality and cost-effectiveness can be improved. In this BIM-based building design process dynamic management method, by designing three interrelated algorithm formulas, realizing data integration and sharing, quantitative evaluation and optimization, real-time feedback of quality control parameter K, coordination of cost and time optimization, and visual monitoring and decision support, the problems and shortcomings of the existing technology are effectively solved. This method provides a new idea and method for the dynamic management of the building design process, which has important application value and development prospects.

[0089] Reference Figure 1-Figure 4 As shown, in this implementation scheme: the calculation formula for evaluating the efficiency unit of the current design process is as follows:

[0090] ;

[0091] F=WG / SR;

[0092] ZL=SZ / ZZ;

[0093] in:

[0094] SL is the design efficiency evaluation value;

[0095] SR is the number of designers, and SR represents the total number of people involved in the design;

[0096] SR0 is the baseline number of designers, which indicates the total number of people originally planned to participate in the design of the current project;

[0097] F is the average load, which means the average workload of each designer.

[0098] F0 is the average benchmark load, which represents the average workload that each designer is required to undertake in the current project;

[0099] WG is the total workload, which reflects the workload completed under the current design process;

[0100] N is the project difficulty coefficient, which indicates the complexity of the design project and has a value range of {0.1-1}, where 0.1 indicates a low difficulty level and 1 indicates a high difficulty level.

[0101] ZL is the resource utilization rate, which indicates the effective utilization degree of resources in the current design process;

[0102] SZ is effective resource volume, ZZ is total resource volume;

[0103] T is the time cost, T represents the time spent in the current design process;

[0104] T0 is the baseline time cost, which represents the time originally planned for the current design process;

[0105] Calculate median values ​​reflecting design process efficiency and resource utilization;

[0106] Half of the time cost T is used to adjust the value of SL to reflect the impact of time on design efficiency, and the higher T is, the lower SL is;

[0107] A high value of SL indicates that the design process is efficient, cost-effective, and has a high success rate;

[0108] A low value of SL indicates that there are problems in the design process and that it is necessary to optimize the time cost T and adjust the design process itself.

[0109] In the calculation of this embodiment, The calculation part aims to comprehensively evaluate the square root of the product of the number of designers SR and the average load F, as well as the quotient of the project difficulty coefficient N and the resource utilization rate ZL, so as to obtain an intermediate value that can reflect the efficiency of the design process and the utilization of resources. By calculating the product of the number of designers SR and the average load F, we can get an indicator to measure the balance of designers' workload. It reflects the ability to cope with project difficulty under given resource conditions. The higher the resource utilization rate, the stronger the ability to cope with project difficulty. As a component of the current design process efficiency evaluation unit, this part is used to comprehensively evaluate the efficiency of the design process. By subtracting it from the product of the time cost T, the value of the design efficiency evaluation value SL can be further adjusted to reflect the impact of time cost on design efficiency.

[0110] This algorithm unit can calculate a specific value to quantify the efficiency of the design process through formula calculation, making the evaluation result more objective and accurate. By comparing the design efficiency evaluation values ​​SL at different stages, it can identify the bottleneck links in the design process and provide a basis for optimizing the process.

[0111] The high or low value of the design efficiency evaluation value SL reflects the efficiency of resource utilization. The resource allocation can be adjusted according to the evaluation results to improve the efficiency of resource utilization. As the project progresses, the design efficiency evaluation value SL will change, thereby being able to timely reflect the dynamic changes of the design process and provide a real-time basis for adjusting the process.

[0112] Reference Figure 1-Figure 4 As shown, in this embodiment: the calculation formula for measuring the unit of design quality improvement degree is as follows:

[0113] ;

[0114] in:

[0115] ZT is the design quality adjustment value;

[0116] SR max is the maximum number of designers;

[0117] K is a quality control parameter, which represents the average effectiveness of quality control measures in the previously completed design process, including the number of designers SR, average load F, total workload WG, project difficulty coefficient N, and resource utilization ZL;

[0118] R is the workload rate per unit time, which means the workload that can be completed per person per hour;

[0119] To evaluate and predict the impact of project difficulty on design quality adjustments;

[0120] A high value of ZT reflects that the design quality and cost control capabilities are within the controllable range;

[0121] Low values ​​of ZT indicate issues that require attention in terms of design quality.

[0122] In the calculation of this embodiment, The calculation part aims to evaluate the improvement potential of design quality by combining the design efficiency evaluation value SL, the number of designers SR, the average load F, the time cost T and the workload rate per unit time R. As a component of the unit for measuring the degree of improvement in design quality, this part is used to evaluate the improvement potential of design quality. By combining it with the design efficiency evaluation value SL and other adjustment items, the value of the design quality adjustment value ZT can be calculated to reflect the adjustment of the design quality.

[0123] The calculation part calculates the quotient of the project difficulty coefficient N divided by the sum of the square root of the quality control parameter K and the design efficiency evaluation value SL to obtain an indicator reflecting the impact of project difficulty on the design quality adjustment. This part, as another component of the calculation formula for the design quality adjustment value ZT, is used to evaluate the impact of project difficulty on the design quality adjustment. By combining it with the design efficiency evaluation value SL and other adjustment items, the value of the design quality adjustment value ZT can be further adjusted to reflect the overall adjustment of the design quality.

[0124] By calculating the design quality adjustment value ZT, this algorithm unit can promptly identify problems in design quality and provide direct feedback for quality optimization, which helps to continuously improve design quality and enhance the overall design level.

[0125] The design quality adjustment value ZT includes the number of designers SR and their associated values, which can motivate operators to improve work quality and efficiency. At the same time, by introducing the quality control parameter K, it can draw lessons from past projects and provide a quality control reference for the current project.

[0126] The design quality adjustment value ZT combines multiple factors such as design efficiency, number of designers, and time cost T, and can comprehensively reflect changes in design quality. This helps to examine design quality from multiple perspectives and achieve comprehensive optimization.

[0127] Reference Figure 1-Figure 4 As shown, in this embodiment: the calculation formula for measuring the effect unit after optimization is as follows:

[0128] ;

[0129] in:

[0130] CBY is the design cost optimization value;

[0131] CY max is the maximum design cost, CY max Indicates the maximum cost budget predicted for the current design project;

[0132] C is the time cost rate, C represents the cost expenditure per hour;

[0133] Used to evaluate the quality-adjusted optimization potential of design costs based on the currently calculated design efficiency.

[0134] In the calculation of this embodiment, The calculation part aims to evaluate the optimization potential of design cost after quality adjustment by adjusting the design quality adjustment value ZT and resource utilization rate ZL. As an integral part of the design cost optimization CBY calculation formula, this part is used to evaluate the optimization potential of design cost after quality adjustment. By combining it with subsequent adjustment items, the value of design cost optimization CBY can be calculated to reflect the overall optimization of design cost.

[0135] This algorithm unit can timely identify problems in design costs by calculating the design cost optimization CBY value, providing direct feedback for cost control. At the same time, the design cost optimization CBY value includes the resource utilization factor ZL, which can motivate the design team to improve resource utilization efficiency and reduce costs.

[0136] The design cost optimization CBY value can be fed back into the time cost T in the current design process efficiency unit, thereby forming a dynamic and interconnected design process management system, which helps to adjust the design process in a timely manner, optimize cost and time arrangements, and maximize overall benefits;

[0137] The change of CBY value in design cost optimization can reflect the changing trend of design cost and provide an intuitive and clear monitoring method, which helps to discover and solve problems in time and reduce project risks.

[0138] Reference Figure 1-Figure 4 As shown, in this implementation scheme: the dynamic management analysis based on the design cost optimization value CBY is as follows:

[0139] If the design cost optimization value CBY shows a flat and rising trend on the line graph, it means that the design cost of the current design process has been effectively optimized, and the time cost T of the current design process needs to be rearranged;

[0140] If the design cost optimization value CBY shows a downward trend on the line graph, it indicates that you need to pay attention to cost issues and take other measures to reduce costs in the current design process.

[0141] in:

[0142] Other measures include observing the high and low trend changes of the design efficiency evaluation value SL and the design quality adjustment value ZT respectively, and conducting dynamic management of the corresponding aspects.

[0143] In this embodiment, by optimizing the design cost CBY, the time cost T can be reduced, thereby improving the design efficiency evaluation value SL. This cyclical impact mechanism helps to achieve continuous optimization of the design process. As the design cost optimization CBY value changes, it can promptly reflect changes in design costs and adjust the design process accordingly. This real-time adjustment capability helps to adapt to the dynamic changes in project needs. Through the cyclical impact mechanism, multiple factors such as design efficiency, quality, and cost can be comprehensively considered to maximize overall benefits, which helps to improve customer satisfaction.

[0144] It is worth noting that the line graph of this algorithm unit can intuitively display the changing trend of design cost optimization CBY over time. By drawing a line graph, the increase and decrease of design cost optimization CBY can be clearly seen, making it easier to identify key periods and potential problems in design cost optimization. This intuitive display method helps to make decisions faster and adjust the time schedule of the design process.

[0145] By observing the line graph, it is possible to promptly discover abnormalities and downward trends in the design cost optimization CBY value, which usually means that there are problems with the design cost and further investigation and analysis are needed. By promptly discovering the problem, targeted measures can be taken to optimize the design process, reduce costs, and improve overall efficiency. Specifically, according to the changing trend of the design cost optimization CBY, the time arrangement and resource allocation of the design process can be re-evaluated. When the design cost optimization CBY value continues to rise, it is possible to consider increasing investment in the critical path to ensure continuous optimization of the design cost. When the design cost optimization CBY value shows a downward trend, it is necessary to adjust the time arrangement of non-critical paths to reduce costs and improve efficiency. By optimizing the time arrangement and resource allocation, the design cost can be better optimized.

[0146] Observing and adjusting design cost optimization CBY using line graphs can improve decision-making efficiency and accuracy. Through intuitive chart presentation and data analysis, decisions can be made more quickly, avoiding mistakes caused by insufficient information and misunderstandings. At the same time, through continuous monitoring and adjustment, decisions can be ensured to be consistent with actual conditions, thereby improving overall management level.

[0147] By observing the changing trends of design cost optimization (CBY) and making corresponding adjustments, we can continuously accumulate experience and discover potential problems and room for improvement in the design process. This spirit of continuous improvement and innovation helps to continuously improve design efficiency and quality and reduce costs.

[0148] In summary, observing the design cost optimization CBY with a line chart and making corresponding adjustments can bring about the beneficial effects of intuitively displaying the changing trend of the design cost optimization CBY, timely discovering cost problems, optimizing time scheduling and resource allocation, improving decision-making efficiency and accuracy, and promoting continuous improvement and innovation. These effects help to better achieve the optimization of design costs and improve overall benefits.

[0149] Reference Figure 1-Figure 4 As shown, in this embodiment: the calculation formula of the quality control parameter K is as follows:

[0150] ;

[0151] QL avg The mean defect rate, specifically the average defect rate of similar projects that have been completed previously;

[0152] CL avg The average project success rate, specifically the average success rate of similar projects that have been completed before;

[0153] M avgThe average customer satisfaction score is the average customer satisfaction score of similar projects that have been completed.

[0154] LC avg The mean quality cost is the average ratio of additional costs incurred due to quality issues to total costs of similar projects that have been completed previously;

[0155] N avg is the average project difficulty coefficient, specifically the average project difficulty coefficient N of previously completed similar projects;

[0156] Among them, similar projects are projects with the same number of designers SR, average load F, total workload WG, project difficulty coefficient N, and resource utilization rate ZL during the design process.

[0157] In this embodiment, by introducing historical evaluation data of similar projects, a large amount of historical data can be used to construct a more robust and reliable calculation formula for the quality control parameter K. This historical data reflects the past performance of similar projects and can provide a valuable reference for the quality control of the current project. Compared with relying solely on the limited data of the current project, the introduction of historical data can significantly improve the accuracy and credibility of the calculation results of the quality control parameter K.

[0158] The introduction of the project difficulty coefficient N enables the calculation formula of the quality control parameter K to more accurately reflect the impact of project difficulty on quality control. By averaging historical similar projects based on their difficulty, it helps to more comprehensively consider the potential impact of project difficulty on quality control parameters, thereby deriving a more reasonable quality control parameter K value.

[0159] As the current project progresses, new data can be continuously collected, and the parameters in the quality control parameter K calculation formula can be updated and adjusted in a timely manner. This dynamic adjustment capability enables the quality control parameter K calculation formula to reflect the quality control status of the current project in real time, thereby facilitating timely discovery and resolution of problems. In addition, based on the actual situation and needs of the project, the specific form and parameters of the quality control parameter K calculation formula can be further optimized to improve its applicability and accuracy.

[0160] Introducing historical evaluation data of similar projects into the calculation formula for the quality control parameter K helps to enhance the scientific nature and refinement of project management. By comprehensively analyzing historical data and current project data, it is possible to more accurately assess the quality control status of the project, thereby formulating a more scientific and reasonable project management strategy.

[0161] The process of calculating the quality control parameter K requires the collection and analysis of a large amount of historical data and current project data. This process promotes collaboration and communication within the project team, helps form a common project management philosophy and goals, and through joint participation in data collection and analysis, enables a deeper understanding of the actual project situation and requirements, thereby enhancing team cohesion and execution.

[0162] In summary, introducing the evaluation data of historical similar projects into the calculation formula of the quality control parameter K and comprehensively considering the project difficulty coefficient N for calculation and processing has brought about many beneficial effects. These effects help to improve the robustness and reliability of the calculation formula of the quality control parameter K, reflect the impact of project difficulty on quality control, facilitate dynamic adjustment and optimization, enhance the scientific nature and refinement of project management, and promote collaboration and communication among project teams.

[0163] It should be noted that any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present invention should also be within the scope of protection of the present invention.

Claims

1. The dynamic management method of architectural design process based on BIM is characterized by: The specific dynamic management steps are as follows: Step 1: Use the dynamic collection module to collect basic information related to the dynamic management of the current project process. The basic information includes the number of designers SR, average load F, total workload WG, project difficulty coefficient N, resource utilization ZL, and the maximum number of designers SR. max , Maximum design cost CY max , as well as the defect rate, success rate, customer satisfaction, quality cost and project difficulty coefficient N of previously completed similar projects; Step 2: The calculation and evaluation module receives basic information and first calculates and outputs the design efficiency evaluation value SL and the quality control parameter K based on it. Then, it calculates and outputs the design quality adjustment value ZT and the design cost optimization value CBY based on this; Step 3: The trend analysis module plots and analyzes the trend change of the design quality adjustment value ZT; Step 4: The visualization module displays the drawing and analysis results and makes decisions; The calculation and evaluation module includes a unit for evaluating the efficiency of the current design process, a unit for measuring the degree of improvement of the design quality, and a unit for measuring the effect after optimization; The calculation formula for evaluating the efficiency unit of the current design process is as follows: ； F=WG / SR; ZL=SZ / ZZ; in: SL is the design efficiency evaluation value; SR is the number of designers; SR0 is the baseline number of designers; F is the average load; F0 is the average baseline load; WG is the total workload; N is the project difficulty coefficient, and its value range is {0.1-1}, 0.1 indicates low design project difficulty, and 1 indicates high design project difficulty; ZL is resource utilization; SZ is effective resource quantity, ZZ is total resource quantity; T is time cost; T0 is benchmark time cost; The calculation formula for the unit for measuring the degree of improvement of design quality is as follows: ； in: ZT is the design quality adjustment value; SR max is the maximum number of designers; K is the quality control parameter; R is the workload rate per unit time; The calculation formula for measuring the optimization effect unit is as follows: ； in: CBY is the design cost optimization value; CY max is the maximum design cost; C is the time cost rate; The calculation formula of the quality control parameter K is as follows: ； QL avg is the mean defect rate; CL avg is the mean project success rate; M avg is the mean customer satisfaction; LC avg is the mean quality cost; N avg is the mean difficulty coefficient of the project.

2. The BIM-based architectural design process dynamic management method according to claim 1, characterized in that: The equipment used in the dynamic collection module includes sensors, scanners, data acquisition equipment, and data storage equipment; The equipment used in the calculation and evaluation module includes computers, software, and data processing equipment; The equipment used by the trend analysis module includes visual analysis equipment; The equipment used in the visualization module includes a large-screen display and a projector.

3. The BIM-based architectural design process dynamic management method according to claim 2, characterized in that: The dynamic management analysis based on the design cost optimization value CBY is as follows: If the design cost optimization value CBY shows a flat and rising trend on the line graph, it means that the design cost of the current design process has been effectively optimized, and the time cost T of the current design process needs to be rearranged; If the design cost optimization value CBY shows a downward trend on the line graph, it indicates that you need to pay attention to cost issues and take other measures to reduce costs in the current design process. in: Other measures include observing the high and low trend changes of the design efficiency evaluation value SL and the design quality adjustment value ZT respectively, and conducting dynamic management of the corresponding aspects.

4. The BIM-based architectural design process dynamic management method according to claim 2, characterized in that: The number of designers SR, average load F, total workload WG, project difficulty coefficient N, resource utilization ZL, and maximum number of designers SR collected and calculated in the current project process max , is the maximum design cost CY max The defect rate, success rate, customer satisfaction, quality cost, design efficiency evaluation value SL, quality control parameter K, design quality adjustment value ZT and design cost optimization value CBY of the current project are automatically stored in the data storage device in the dynamic collection module.

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