A building fire protection measure safety-economy coupling assessment method based on BIM

Abstract

The application discloses a kind of based on BIM's building fire protection measure safety-economy coupling evaluation method, comprising the following steps: obtaining safety data and economy data from building BIM design platform;Safety data and economy data are respectively preprocessed;According to the safety data after preprocessing, safety analysis is carried out to obtain evacuation time data;According to the economy data after preprocessing, economy analysis is carried out to obtain measure cost data;Evacuation time data and measure cost data are coupled by the value engineering model built, and building fire protection measure value data is obtained.The application ensures that the economy of building fire protection measure is improved on the basis of meeting building safety, reduces the waste of resources in fire protection measure design, and the building BIM design platform using the evaluation method can enable designers to evaluate and judge the economy of different fire protection measures, automatically filter out the best fire protection measure scheme and take appropriate design optimization.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of building fire protection measures, and relates to building fire protection measures evaluation technology, in particular to a building fire protection measures safety-economy coupling evaluation method based on BIM. BACKGROUND

[0002] BIM technology is a very advanced and widely applied technology in today's construction field. From the perspective of building engineering cost management, BIM technology has many advantages such as improving efficiency, optimizing design, and overall management. The BIM-based design management platform utilizes the superior three-dimensional visualization space display capability of the BIM model, and introduces building information, fire protection measure schemes, and engineering cost into the design management function by taking the BIM model as the carrier. At the same time, the results of fire simulation and simulation are combined with the engineering cost to help designers and engineers improve the control ability of design, optimize the economy and safety of fire protection measure schemes, and reduce operating costs.

[0003] The BIM "safety-economy" coupling evaluation platform mainly consists of three parts, namely a fire simulation and simulation system, a building information system, and a value engineering system. The fire simulation and simulation model is the evaluation platform for the safety of building fire protection measures, and interacts with the fire protection measure scheme to realize the quantification of the safety of various fire protection measures. The building information system can present the material properties, engineering cost, design information, etc. of building fire protection measures in 3D visualization, and obtain a large amount of data such as the bill of quantities, fire protection measure data, and fire protection measure cost. These data are stored in the BIM model, and the designers can refer to the fire protection measure information while calculating the facilities and data, so that the engineering cost is more accurate, the data analysis work is more comprehensive, and the fire protection measures are preliminarily budgeted. The value engineering system is a quantitative tool for "safety-economy" coupling evaluation, and introduces value to represent the coupling relationship between fire protection measure safety and economy under the condition of meeting the safety of the building itself.

[0004] Modern fire protection measures are restricted by economic development, and more and more BIM technology (Building Information Modeling) is used to establish building BIM design platform to realize building design optimization. Early researchers based on building information model (BIM) studied the safety of building fire protection measures and safety evacuation. However, due to the complexity and diversity of fire protection measure cost, the design stage mainly considers meeting the requirements of design specifications, and does not well consider the economy of fire protection measures. The economy problem not only leads to the fact that part of the building cannot be equipped with perfect and systematic fire protection measures, so that people cannot be rescued through various fire protection measures in the building fire situation, which makes relatively slight fire develop into a more serious fire situation, increases the difficulty of fire fighting and rescue, and causes great waste of manpower and material resources and property loss.

[0005] The related scholars have carried out in-depth research on the safety of building fire protection measures, and have achieved certain results, but less fire simulation simulation is carried out on safety, and the economy of fire protection measures is not considered. SUMMARY

[0006] The purpose of the application is to overcome the deficiencies in the prior art, provide a building fire protection measure safety-economy coupling evaluation method based on BIM, ensure that the economy of building fire protection measures is improved on the basis of meeting the safety of buildings, and reduce the waste of resources in fire protection measure design. The building BIM design platform using the evaluation method can enable the designer to evaluate and judge the economy of different fire protection measures, can automatically select the best fire protection measure scheme and take appropriate design optimization, help the building designer to effectively evaluate the safety and economy of the fire protection measure so as to take reasonable and effective fire protection measures, and realize high-safety and high-benefit building BIM fire protection measure design.

[0007] Technical scheme: In order to achieve the above purpose, the application provides a building fire protection measure safety-economy coupling evaluation method based on BIM, comprising the following steps:

[0008] S1: obtaining safety data and economy data from a building BIM design platform;

[0009] S2: respectively pre-processing the safety data and the economy data;

[0010] S3: obtaining evacuation time data by safety analysis according to the pre-processed safety data; obtaining measure cost data by economy analysis according to the pre-processed economy data;

[0011] S4: coupling the evacuation time data and the measure cost data through the constructed value engineering model to obtain building fire protection measure value data.

[0012] Further, the safety data is obtained by fire simulation simulation in the step S1, and the safety data includes three environmental parameter data of temperature, CO concentration and visibility of the fire protection measure belonging to the fire scene.

[0013] Further, the economy data is obtained by building information model in the step S1, and the economy data is the fire protection measure scheme and the bill of quantities obtained by combining BIM, and the fire protection cost data of the specific fire protection measure can be obtained from the fire protection measure scheme and the bill of quantities.

[0014] Further, the preprocessing method of the safety data in step S2 is: determining different fire conditions and fire fighting measures, obtaining the time when the human body contact temperature, CO concentration and visibility reach the range that the human body can bear under different fire conditions at the characteristic height, and taking the minimum value among the three as the available safety evacuation time of the corresponding fire fighting measure.

[0015] Further, the preprocessing method of the economic data in step S2 is: the fire fighting measure cost generated by different fire fighting measure design schemes is different, and the material type composition data set is obtained according to the bill of quantities in the BIM model, and the fire fighting measure cost under different conditions is budgeted by using artificial cost, material cost, construction machinery use cost, construction management cost and other indirect cost by using BIM.

[0016] Further, the process of safety analysis in step S3 is: considering the characteristics of dynamic data and the use background of building fire fighting measures, dynamic data analysis is carried out by using Pyrosim software of fire simulation simulation; temperature, CO concentration and visibility are taken as output variables of fire fighting measures under different conditions in simulation simulation, the human body can bear limit under fire scene is selected as the condition, the minimum bearing time value among the three is taken as the available safety evacuation time, and the available safety evacuation time is taken as the safety index of evaluating fire fighting measures.

[0017] Further, the process of economic analysis in step S3 is: according to the bill of quantities, the bill of quantities of BIM is used to calculate the cost of artificial cost, material cost, construction machinery use cost, construction management cost and other indirect cost, the cost of different fire fighting measures is budgeted, the cost of different fire fighting measure schemes is obtained, and the cost is taken as the economic index of different fire fighting measures.

[0018] Further, in the safety analysis of step S3, Pyrosim fire simulation simulation converts BIM model into FDS fire model through DWG format, and the grid boundary of FDS model is defined first in fire simulation simulation, the grid size is selected as 1 / 10 of the characteristic diameter of flame, and the characteristic flame diameter D* is determined according to the formula Wherein Q is the heat release rate of fire source (kW); ρ ∝ is air density (1.2 kg / m3); c p is air specific heat (1 kJ / (kg·K)); T ∝ is the temperature of the environment air (293 K); g is the acceleration of gravity (9.81 m / s2); different building material parameters are defined in the FDS model, the density, thermal conductivity and specific heat of the material are determined, the density Y α is the mass percentage of each component; ρ α is the density of each component set; thermal conductivity N m is the total number of materials; X α is the volume ratio of each component of the material; specific heat The heat release rate is an important parameter of the fire scene, and the heat release rate Q=Φ×m×ΔH is calculated first to create a fire reaction; Φ is a combustion efficiency factor (0.3); m is the mass burning rate of the combustible (kg / s); ΔH is the heat value of the combustible (MJ / kg); the modeling of the fire-fighting measures includes the modeling of the water spray system, the automatic fire alarm system, and the logic control system, finally, the simulation parameters are set for operation, and 3D animation and 2D historical time graphs are output, to obtain the temperature, CO concentration, and visibility environmental parameters; the output variables of the Pyrosim fire simulation simulation are temperature, CO concentration, and visibility, and the available safety evacuation time is determined according to the condition that the human body can withstand the limit, that is, the safety index of the fire-fighting measures under different working conditions.

[0019] Further, the determination of the available safety evacuation time in the safety analysis of the step S3 is specifically: from the occurrence of the fire to the development of the fire to the limit time at which the internal environment or structure of a specific space in the building reaches a state endangering personal safety, the temperature at a height of 2m exceeds 60 DEG C, the mass fraction of CO in the smoke layer in the space below 2m is greater than 1400*10 -6 , and the visibility at a height of 2m is less than 10m, which is the limit that the human body can withstand when the fire occurs, the time at which the three environmental parameters respectively reach the dangerous state is calculated, and the minimum value among the three is taken as the index for evaluating the safety of the fire-fighting measures, that is, the available safety evacuation time.

[0020] Further, the step S4 is specifically:

[0021] The temperature, CO concentration, and visibility of the fire-fighting measures under different working conditions are obtained through simulation simulation, and the available safety evacuation times T1, T2, T3... of different safety of multiple schemes are obtained; the BIM-based engineering quantity list is used to budget different fire-fighting measure schemes, and different costs C1, C2, C3... of the corresponding multiple schemes are obtained.

[0022] The value engineering model is v=f / c, wherein v is the value; f is the function; and c is the cost; the value engineering model is used for evaluating the safety and economy of the fire-fighting measures, the available safety evacuation time (T) of different fire-fighting measure schemes is taken as the function (f), the cost (C) of different fire-fighting measure schemes is taken as the cost (c), the value of different fire-fighting measure schemes is obtained based on the value engineering model, and is used as the basis for safety-economy coupling evaluation of the building fire-fighting measures, and a safety-economy strategy suggestion is proposed.

[0023] Advantages: Compared with the prior art, the present application has the following advantages:

[0024] 1. This invention uses fire simulation software to assess the safety of fire protection measures under different working conditions. By analyzing the types of building fire protection measures, different fire protection schemes are determined and implemented in BIM. The fire simulation software (Pyrosim) simulates temperature, CO concentration, and visibility under different working conditions, outputting dynamic datasets for different fire protection measures. Taking the human body's tolerable limits under fire scenarios as a condition, the minimum tolerable time among these three factors is considered the available safe evacuation time, which is then used as an indicator to evaluate the safety of fire protection measures.

[0025] 2. This invention uses Building Information Modeling (BIM) to store building fire protection information and to budget the engineering cost of fire protection measures. Based on the bill of quantities, the BIM-based bill of quantities uses cost calculation methods including labor costs, material costs, construction machinery usage costs, construction management costs, and other indirect costs to budget different fire protection measures, obtaining the cost of different fire protection measure schemes, which serves as an economic indicator for evaluating the fire protection measures under different working conditions.

[0026] 3. This invention uses a value engineering model to construct a quantitative model for "safety-economy" coupled analysis, comparing the available safe evacuation time of fire protection measures with the cost of different fire protection schemes, making building fire protection design more efficient and cost-effective. Furthermore, it overcomes the shortcomings of traditional fire protection design, which only considers the safety of code designs and does not conduct fire simulations to assess the safety of building fire protection schemes. Instead, it first uses fire simulations to determine the strength of the safety of fire protection measures, and then combines this with cost to evaluate the value of the fire protection scheme.

[0027] 4. This invention uses fire simulation results of building fire protection measures for economic evaluation. The available safe evacuation time is determined by analyzing temperature, CO concentration, and visibility under different operating conditions using fire simulation software. The fire protection measure budget output from BIM is used as an economic indicator. The safety and economy of fire protection measures are evaluated through a value engineering model.

[0028] 5. This invention uses specific engineering examples to test the effectiveness of the "safety-economy" analysis of coupled evaluation of building fire protection measures as the standard to ultimately determine the best reinforcement scheme.

[0029] 6. This invention enhances the effectiveness of safety and economic assessment of building fire protection facilities, improves the efficiency of building fire protection measure design, and reduces resource waste. Using this assessment method on a building BIM design platform enables designers and engineers to further communicate, improving the safety, economy, and effectiveness of fire protection measure design. Attached Figure Description

[0030] Figure 1A basic framework diagram of the BIM design platform of the present application;

[0031] Figure 2 A design idea diagram of the fire protection measure "safety-economy" coupling evaluation method of the present application;

[0032] Figure 3 A general framework diagram of the fire protection measure "safety-economy" coupling evaluation method of the present application;

[0033] Figure 4 A framework diagram of the evacuation time analysis based on the fire simulation software (Pyrosim) of the present application;

[0034] Figure 5 A framework diagram of the fire protection measure cost calculation method of the present application;

[0035] Figure 6 A structure diagram of the building fire protection measure "safety-economy" evaluation model of the present application. DETAILED DESCRIPTION

[0036] The present application will be further illustrated below in conjunction with the accompanying drawings and specific embodiments, and it should be understood that these embodiments are only used to illustrate the present application and are not used to limit the scope of the present application, and after reading the present application, various equivalent modifications of the present application by those skilled in the art fall within the scope defined by the appended claims of the present application.

[0037] As shown in Figure 1 , the present application provides a BIM design platform, which mainly consists of three parts, one is a fire simulation model, two is a building information model, and three is a value engineering model. The fire simulation model is a safety module for fire protection measure design, which is integrated with the BIM design platform to realize the simulation of the fire performance of the safety of the fire protection measure. The building information model can count the engineering quantity list of the fire protection measure scheme, store material attribute information, such as building information, fire protection data, fire protection measure scheme, etc. These data will be stored in the data center of the BIM design platform in the form of various reports on the one hand, and will link relevant technical personnel to promote the interaction between designers and engineers. The value engineering model is a medium and method for integrating "safety-economy" coupling analysis, which combines the results of fire simulation of the fire protection measure and the cost information in the building information model to realize the comprehensive evaluation of the "safety-economy" of the building fire protection measure, and to propose economic strategies and suggestions.

[0038] As shown in Figure 2As shown, the application provides a design idea of a fire protection measure "safety-economic" coupling evaluation method. When determining a set of different fire protection measure schemes, a BIM design platform is used to establish a model, and then a fire model is established, including creating a grid, defining material pyrolysis, establishing a fire protection measure model, defining fire reaction, setting materials and parameters, setting simulation parameters and running, obtaining dynamic data of CO mass fraction, visibility, and temperature, judging by the danger approach standard, and outputting the minimum value among the three as the available safety evacuation time. Combining the engineering cost of each fire protection measure scheme provided by the building information model, and through the value engineering model, the "safety-economic" coupling evaluation of each fire protection measure scheme is carried out, and the value is output.

[0039] Based on the above BIM design platform and the design idea of the fire protection measure "safety-economic" coupling evaluation method, the application provides a building fire protection measure safety-economic coupling evaluation method based on BIM, as shown in Figure 3 The method comprises the following steps:

[0040] S1: Obtain safety data and economic data from the building BIM design platform:

[0041] In this embodiment, the safety data is obtained by fire simulation simulation, and the safety data includes three environmental parameter data of temperature, CO concentration, and visibility of the fire scene to which the fire protection measure belongs;

[0042] In this embodiment, the economic data is obtained by the building information model, and the economic data is the fire protection measure scheme and the bill of quantities obtained by combining BIM. The fire protection cost data of a specific fire protection measure can be obtained from the fire protection measure scheme and the bill of quantities.

[0043] S2: Preprocess the safety data and economic data respectively:

[0044] The preprocessing method of the safety data is: determine different fire conditions and fire protection measures, obtain the time when the human body contact temperature, CO concentration, and visibility at the characteristic height under different fire conditions reach the range that the human body can withstand, take the minimum value among the three, as the available safety evacuation time of the corresponding fire protection measure.

[0045] The preprocessing method of the economic data is: the fire protection measure cost generated by different fire protection measure design schemes is different, and the material type constitutes a data set. According to the bill of quantities in the BIM model, the fire protection measure cost under different conditions is budgeted by using labor cost, material cost, construction machinery use cost, construction management cost, and other indirect costs.

[0046] S3: Obtain the evacuation time data by safety analysis according to the preprocessed safety data; obtain the measure cost data by economic analysis according to the preprocessed economic data:

[0047] The process of safety analysis is: considering the characteristics of dynamic data and the use background of building fire protection measures, using the Pyrosim software of fire simulation to analyze the dynamic data; taking temperature, CO concentration and visibility as the output variables of fire protection measures under different working conditions in simulation, selecting the human body limit under fire scene as the condition, taking the minimum bearing time value among the three as the available safety evacuation time, and taking the available safety evacuation time as the safety index of evaluating fire protection measures.

[0048] The process of economic analysis is: according to the bill of quantities, using the bill of quantities of BIM to calculate the cost of different fire protection measures by using labor cost, material cost, construction machinery use cost, construction management cost and other indirect cost, and obtaining the cost of different fire protection measures as the economic index of different working conditions of fire protection measures.

[0049] S4: coupling the evacuation time data and the measure cost data through the constructed value engineering model to obtain the value data of building fire protection measures:

[0050] As shown in Figure 4 , in the safety analysis of step S3 of the embodiment, the Pyrosim fire simulation converts the BIM model into the FDS fire model through the DWG format, and the fire simulation firstly defines the grid boundary of the FDS model, and the grid size is selected as 1 / 10 of the characteristic diameter of the flame, and the characteristic flame diameter D* is determined according to the formula Wherein Q is the heat release rate of the fire source (kW); ρ ∝ is the air density (1.2 kg / m3); c p is the specific heat of air (1 kJ / (kg·K)); T ∝ is the ambient air temperature (293 K); g is the acceleration of gravity (9.81 m / s2); different building material parameters are defined in the FDS model, and the density, thermal conductivity and specific heat of the material are determined, and the density Y α is the mass percentage of each component; ρ α is the density of each component; the thermal conductivity N m is the total number of materials; X α is the volume ratio of each component of the material; the specific heat The heat release rate is an important parameter of the fire scene, and the heat release rate Q = Φ × m × ΔH is calculated first to create a fire reaction; Φ is the combustion efficiency factor (0.3); m is the mass combustion rate of the combustible (kg / s); ΔH is the heat value of the combustible (MJ / kg); the modeling of the fire-fighting measures includes the modeling of the water spray system, the automatic fire alarm system, and the logic control system, and finally the simulation parameters are set for operation, and the 3D animation and 2D historical time graph are output, and the temperature, CO concentration, and visibility environmental parameters are obtained; the output variables of the Pyrosim fire simulation are temperature, CO concentration, and visibility, and the available safe egress time is determined according to the limit that the human body can withstand, that is, the safety index of the fire-fighting measures under different working conditions.

[0051] The determination of the available safe egress time is as follows: from the occurrence of the fire to the development of the fire to the limit time at which the internal environment or structure of a specific space in the building reaches a state that endangers personal safety, the temperature at a height of 2m exceeds 60℃, the mass fraction of CO in the smoke layer in the space below 2m is greater than 1400 × 10 -6 , and the visibility at a height of 2m is less than 10m, which is the limit that the human body can withstand when the fire occurs, the time at which the three environmental parameters reach the dangerous state is calculated, and the minimum value among the three is taken as the index for evaluating the safety of the fire-fighting measures, that is, the available safe egress time.

[0052] As shown in Figure 5 , the fire-fighting measure cost in the embodiment mainly includes direct cost, indirect cost, and planned profit. The direct cost includes quota direct cost such as labor cost, material cost, and construction machinery use cost, and other direct cost, and the indirect cost includes construction management cost and other indirect cost.

[0053] As shown in Figure 6 , the specific process of step S4 in the embodiment is as follows:

[0054] The temperature, CO concentration, and visibility of the fire-fighting measures under different working conditions are obtained through simulation, and the available safe egress times T1, T2, T3... of different safety of multiple schemes are obtained; the BIM-based engineering quantity list is used to budget different fire-fighting measure schemes, and different costs C1, C2, C3... of the corresponding multiple schemes are obtained;

[0055] The value engineering model is v = f / c, where v is the value; f is the function; and c is the cost. The value engineering model is used to evaluate the safety and economy of the fire-fighting measures, the available safe egress time (T) of different fire-fighting measure schemes is taken as the function (f), and the cost (c) of different fire-fighting measure schemes is taken as the cost (c), the value of different fire-fighting measure schemes is obtained based on the value engineering model, which is used as the basis for safety-economy coupling evaluation of the building fire-fighting measures, and a safety-economy strategy suggestion is proposed.

Claims

1. A BIM-based safety-economic coupling evaluation method for building fire protection measures, characterized in that, Includes the following steps: S1: Obtain safety and economic data from the building BIM design platform; S2: Preprocess the security data and the economic data separately; S3: Based on the pre-processed safety data, perform safety analysis to obtain evacuation time data; based on the pre-processed economic data, perform economic analysis to obtain measure cost data; S4: By coupling evacuation time data with measure cost data through a well-constructed value engineering model, the value data of building fire protection measures can be obtained; The safety analysis process in step S3 is as follows: considering the characteristics of dynamic data and the background of building fire protection measures, dynamic data analysis is performed using Pyrosim software for fire simulation; temperature, CO concentration, and visibility are used as output variables for fire protection measures under different working conditions; the human body's tolerance limit under fire scenarios is selected as the condition; the minimum tolerance time among the three is the available safe evacuation time; and the available safe evacuation time is used as the safety indicator for evaluating fire protection measures. In the safety analysis of step S3, Pyrosim fire simulation converts the BIM model into an FDS fire model using DWG format. The fire simulation first defines the mesh boundary of the FDS model, with the mesh size selected as 1 / 10 of the characteristic flame diameter. The characteristic flame diameter D* is determined using the following formula. Where Q is the heat release rate of the ignition source; ρ ∝ c is the air density. p The specific heat of air; T ∝ The ambient air temperature is represented by g; g is the acceleration due to gravity; different building material parameters are defined in the FDS model to determine the material's density, thermal conductivity, specific heat, and density. Y α Percentage of mass for each component; ρ α The density of each component is set; thermal conductivity N m X represents the total number of materials; α The volume ratio of each component in the material; specific heat. Heat release rate is a crucial parameter in fire scenarios. Creating a fire response first requires calculating the heat release rate Q = Φ × m × ΔH; where Φ is the combustion efficiency factor; m is the mass combustion rate of the combustible; and ΔH is the calorific value of the combustible. Fire protection modeling includes modeling water sprinkler systems, automatic fire alarm systems, and logic control systems. Finally, simulation parameters are set and calculated, outputting 3D animations and 2D historical timelines to obtain environmental parameters such as temperature, CO concentration, and visibility. The output variables of Pyrosim fire simulation are temperature, CO concentration, and visibility. Based on the limits that the human body can tolerate, the available safe evacuation time is determined, which represents the safety index of fire protection measures under different working conditions. In the safety analysis of step S3, the determination of the available safe evacuation time is specifically as follows: from the occurrence of a fire to its development to the point where the internal environment or structure of the building space reaches the limit that endangers personal safety, the temperature at a height of 2m exceeds 60℃, and the mass fraction of CO in the smoke layer below 2m is greater than 1400×10⁻⁶. -6 When visibility at a height of 2m is less than 10m, it is the limit that the human body can withstand during a fire. Calculate the time it takes for the three environmental parameters to reach the dangerous state, and take the minimum value among the three as the indicator to evaluate the safety of fire protection measures, which can be called safe evacuation time. Step S4 is as follows: By simulating the temperature, CO concentration, and visibility of fire protection measures under different working conditions, the available safe evacuation times T1, T2, T3... for different safety levels of multiple schemes are obtained. Based on the BIM bill of quantities, the different fire protection measures schemes are budgeted to obtain the different costs C1, C2, C3... for the corresponding multiple schemes. The value engineering model is v = f / c, where v is value, f is function, and c is cost. The value engineering model is used to evaluate the safety and economy of fire protection measures. The available safe evacuation time (T) of different fire protection measures is taken as the function (f), and the cost (C) of different fire protection measures is taken as the cost (c). The value of different fire protection measures is obtained based on the value engineering model, which is used as the basis for safety-economic coupling evaluation of building fire protection measures, and safety-economic strategy recommendations are proposed.

2. The BIM-based safety-economic coupling evaluation method for building fire protection measures according to claim 1, characterized in that, In step S1, safety data is obtained through fire simulation. The safety data includes three environmental parameters: temperature, CO concentration, and visibility of the fire scene to which the fire protection measures belong.

3. The BIM-based safety-economic coupling evaluation method for building fire protection measures according to claim 1, characterized in that, In step S1, economic data is obtained through building information modeling. The economic data is obtained by combining BIM to obtain fire protection measures plan and bill of quantities. The fire protection cost data of fire protection measures can be obtained from the fire protection measures plan and bill of quantities.

4. The BIM-based safety-economic coupling evaluation method for building fire protection measures according to claim 2, characterized in that, The preprocessing method for safety data in step S2 is as follows: determine different fire conditions and fire-fighting measures, obtain the time when the human body contact temperature, CO concentration, and visibility reach the range that the human body can tolerate at a characteristic height under different fire conditions, and take the minimum value among the three as the available safe evacuation time for the corresponding fire-fighting measures.

5. The BIM-based safety-economic coupling evaluation method for building fire protection measures according to claim 3, characterized in that, The preprocessing method for economic data in step S2 is as follows: different fire protection design schemes result in different fire protection cost, and the data set is composed of material types. Based on the bill of quantities in the BIM model, the cost of fire protection measures under different working conditions is budgeted by using BIM to include labor costs, material costs, construction machinery usage costs, construction management costs, and other indirect costs.

6. The BIM-based safety-economic coupling evaluation method for building fire protection measures according to claim 1, characterized in that, The economic analysis process in step S3 is as follows: Based on the bill of quantities, the BIM bill of quantities is used to calculate the costs of labor, materials, construction machinery, construction management, and other indirect costs to budget for different fire protection measures, thereby obtaining the cost of different fire protection measures and using it as an economic indicator for fire protection measures under different working conditions.

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