Intelligent construction site management system based on BIM
By using a BIM-based smart construction site management system, a three-dimensional virtual space is constructed to simulate the generation and spread of dust, quantify the impact coefficient, and generate prevention and control strategies. This solves the problem that the impact of the number and status of equipment was not considered in traditional construction site dust management, and achieves scientific and accurate dust management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-09
- Publication Date
- 2026-04-07
AI Technical Summary
Traditional construction site dust management techniques do not fully consider the impact of the number and operating status of construction equipment on dust generation and diffusion, and lack quantitative analysis, resulting in assessment results that lack scientific rigor and accuracy, making it difficult to provide effective support for developing targeted prevention and control strategies.
The BIM-based smart construction site management system constructs a three-dimensional virtual space through simulation analysis units, obtains data on the number of equipment and their operating status, combines meteorological and material property data, simulates dust generation and diffusion, establishes a dust diffusion correlation model, quantifies the impact coefficient, and generates prevention and control management strategies.
It enables precise control over the generation and spread of dust, rational allocation of prevention and control resources, reduction of management costs, avoidance of resource waste, and provides a scientifically based prevention and control strategy.
Smart Images
Figure CN121808892A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of construction site management technology, specifically to a BIM-based smart construction site management system. Background Technology
[0002] Construction sites, as important locations for urban development, have become a key factor affecting urban air quality and the ecological environment due to their dust pollution.
[0003] Currently, traditional construction site dust management techniques often fail to fully consider the impact of the number and operating status of construction equipment on dust generation and diffusion. The total amount of dust generated when different numbers of equipment operate simultaneously will vary significantly. Moreover, the operating status of the equipment, such as operating power, operating time, and start-stop frequency, will also affect the amount of dust generated and the diffusion speed. Furthermore, there is a lack of quantitative analysis based on the data of the number and operating status of construction equipment. When assessing the impact of dust on the surrounding environment, the lack of accurate quantification of the influence coefficients of various factors such as the number and operating status of construction equipment on dust concentration and diffusion range will make the impact assessment results lack scientific rigor and accuracy, making it difficult to provide effective support for the formulation of targeted prevention and control strategies.
[0004] Therefore, in view of this, the present invention proposes a BIM-based smart construction site management system to make up for and improve the shortcomings of existing technologies. Summary of the Invention
[0005] To address the aforementioned technical problems, this invention provides a BIM-based smart construction site management system to resolve the corresponding technical issues raised in the background section.
[0006] To achieve the above objectives, the technical solution adopted by this invention is: a BIM-based smart construction site management system, including a simulation analysis unit, an impact assessment unit, and a prevention and control management unit; The simulation analysis unit is used to acquire terrain data of the construction site, construct a three-dimensional virtual space in combination with the BIM model, and divide the construction site into areas in the constructed three-dimensional virtual space according to functional zoning. At the same time, it acquires the number and operating status data of construction equipment in each area, and simulates the generation and diffusion of dust in each area in combination with meteorological data and building material characteristic data of the construction site. It outputs the dust concentration and diffusion range of each area and sends the simulation results to the impact assessment unit. The impact assessment unit is used to obtain simulation results, establish a dust diffusion correlation model, analyze the impact of the number of construction equipment, operating status data, meteorological data, and building material characteristic data on dust concentration and diffusion range, quantify the impact coefficient of each factor on dust concentration and diffusion range, and send the impact coefficient to the prevention and control management unit. The prevention and control management unit is used to obtain the impact coefficient, compare the dust concentration and diffusion range of each area according to the preset dust prevention and control standard threshold, determine the degree of exceedance of dust concentration and diffusion range in each area based on the comparison results, generate a prevention and control management strategy based on the determined degree of exceedance, and convert the prevention and control management strategy into control commands and send them to the management terminal.
[0007] Preferably, the terrain data includes terrain elevation data and slope data, the BIM model includes geometric and structural information of buildings, and the operating status data includes operating power P and operating time. Start-stop frequency The meteorological data includes wind speed. Temperature T and humidity H; the building material characteristic data includes the particle size d of sand and gravel and the mud content. .
[0008] As a preferred method, the specific process for outputting the dust concentration and diffusion range of each area is as follows: S101. Obtain the terrain data of the construction site from the geographic information system, obtain the BIM model, and integrate the terrain data with the BIM model. Use 3D modeling software to construct a 3D virtual space of the construction site. According to the functional zoning of the construction site, divide the construction site into areas in the constructed 3D virtual space and assign a unique identifier number to each area. S102. Obtain the quantity and operating status data of construction equipment in each area. Combined with meteorological data and building material characteristic data at the construction site, simulate the fluid flow in the three-dimensional virtual space using the finite volume method. The Navier-Stokes equations are as follows: ; in, It is the local derivative of the velocity field u with respect to time t, representing the rate of change of velocity with time at a fixed spatial point. It is used to reflect the local change of velocity of a fluid particle at a certain location with time. It is a convective term. It is a differential operator used to describe the change in velocity of a fluid particle during its motion due to the spatial inhomogeneity of the fluid. This is the pressure gradient term, where ρ is the fluid density and p is the pressure field. It is a pressure gradient; This is the viscosity term, where v is the kinematic viscosity of the fluid. It is the Laplace operator; f is gravity; S103. Select the Lagrange particle tracking model to perform particle dynamics simulation, and obtain the velocity field of each region in the three-dimensional virtual space at different times based on fluid flow simulation. The velocity field is passed as input to the Lagrange particle tracking model, and based on each dust particle and its location... The fluid velocity at that location can be obtained by interpolation from the velocity field. The motion of dust particles in a fluid is simulated by tracking the trajectory of a single particle using a Lagrange particle tracking model. The particle motion equation is as follows: ; ; Where u has the same meaning as in fluid flow simulation, it represents the velocity field of the fluid surrounding the particle's location. In calculation, it is the fluid velocity vector value corresponding to that location. x is the particle position. It's particle velocity. Where g is the particle response time and g is the gravitational acceleration; Indicates particle velocity. Indicates particle acceleration; By using numerical integration, the position and velocity of the particle are calculated step by step based on its initial position and initial velocity, thereby tracking the particle's trajectory in a three-dimensional virtual space. S104, Based on the density of sand and gravel and particle volume Calculate the mass of a single particle The system iterates through the trajectories of all dust particles within each region, identifies the particles located within that region at the time of calculation, and calculates the total mass of the particles. ; According to the definition of dust concentration, the formula for calculating the dust concentration C in each area is as follows: ; in, These are the coordinates of the region's center. It is the volume of the region; S105. By tracking the trajectory of each particle in the three-dimensional virtual space, record the farthest position that each particle can reach within the simulation time range, find the farthest reaching position among all particles, and determine the distance between this position and the dust source as the diffusion range R of the dust particles in the three-dimensional virtual space. Adjust the parameters based on the simulation results, repeat the simulation process until the results converge, and output the dust concentration in each region at different times and the diffusion range of dust particles in the three-dimensional virtual space.
[0009] As a preferred method, the specific process for quantifying the influence coefficients of each factor on dust concentration and diffusion range is as follows: S201. Obtain the simulation results and establish a dust diffusion correlation model using a multiple linear regression algorithm. The formula is as follows: ; ; Where C is the dust concentration and R is the diffusion range. and Here are the regression coefficients, e and k are the error terms, and n is the number of construction equipment. S202. Calculate the regression coefficients using the least squares method. and ,in, ; The influence coefficients of each factor on dust concentration and diffusion range were quantified using regression coefficients. The influence coefficient of each factor on dust concentration is the corresponding regression coefficient. The coefficient of influence on the diffusion range is the corresponding regression coefficient. .
[0010] As a preferred method, the specific process for determining the degree of exceedance of dust concentration and diffusion range in each area is as follows: S301. Obtain the influence coefficients of each factor on dust concentration and diffusion range. Based on the preset prevention and control standard threshold, compare the dust concentration and diffusion range of each area and calculate the degree of exceedance of dust concentration and diffusion range in each area. S302, dust concentration exceeding the standard The calculation formula is: ; in, The preset threshold for dust concentration control standards; S303, degree of exceedance of diffusion range The calculation formula is: ; in, The preset threshold for controlling the spread range; S304, when or When the dust concentration or diffusion range in the area exceeds the standard, the greater the degree of exceedance, the more serious the dust pollution.
[0011] As a preferred approach, the specific process for simultaneously generating prevention and control management strategies is as follows: S401. Based on the degree of exceedance of dust concentration and diffusion range in each area, the exceedance levels are classified as follows: when and At that time, it was determined to be a slight exceedance; when and At that time, it was determined to be a moderate exceedance; when or At that time, it was determined to be a severe case of exceeding the standard; in, , , , All are preset level thresholds; S402. Based on the classification of exceedance levels, the following prevention and control management strategies are formulated for different exceedance levels: Slight exceedance: Increase the frequency of water spraying to reduce dust at the construction site; Moderate exceedance: Cover building materials and set up barriers to reduce dust spread; Severe exceedance: Stop construction activities in the area and conduct a comprehensive cleanup and rectification of the construction site; S403. Transform the established prevention and control management strategy into control instructions and send them to the management terminal.
[0012] Compared with existing technologies, the beneficial effects of this invention are as follows: By acquiring terrain data of the construction site, constructing a three-dimensional virtual space using a BIM model, and dividing the construction site into areas according to functional zoning, the quantity and operating status data of construction equipment in each area are acquired. Combined with meteorological data and building material characteristic data of the construction site, the generation and diffusion of dust are simulated for each area, outputting the dust concentration and diffusion range of each area. Based on the simulation results, a dust diffusion correlation model is established to analyze the degree of influence on dust concentration and diffusion range, quantifying the influence coefficients of each factor on dust concentration and diffusion range, and based on preset dust control standards... The threshold method compares the dust concentration and diffusion range of each area. Based on the comparison results, it determines the degree of exceedance of dust concentration and diffusion range in each area. Based on the determined degree of exceedance, a prevention and control management strategy is generated simultaneously and converted into control instructions and sent to the management terminal. This method can comprehensively and accurately reflect the actual situation of dust generation and diffusion at the construction site, quantify the influence coefficient of each factor on dust, and make dust management no longer rely on experience but on scientific data analysis. This enables precise control of dust problems, helps to clarify the degree of influence of different areas and factors on dust, and thus allows for the rational allocation of prevention and control resources, avoids excessive waste of resources, and reduces the cost of dust management. Attached Figure Description
[0013] Figure 1 This is a schematic diagram of the overall structure of a preferred embodiment of the present invention. Detailed Implementation
[0014] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0015] Embodiments of the present invention: Please refer to Figure 1 As shown, the BIM-based smart construction site management system includes a simulation analysis unit, an impact assessment unit, and a prevention and control management unit. The simulation analysis unit is used to acquire terrain data of the construction site, construct a three-dimensional virtual space in combination with the BIM model, and divide the construction site into areas in the constructed three-dimensional virtual space according to functional zoning. At the same time, it acquires the number and operating status data of construction equipment in each area, and simulates the generation and diffusion of dust in each area in combination with meteorological data and building material characteristic data of the construction site. It outputs the dust concentration and diffusion range of each area and sends the simulation results to the impact assessment unit. The impact assessment unit is used to obtain simulation results, establish a dust diffusion correlation model, analyze the impact of the number of construction equipment, operating status data, meteorological data, and building material characteristic data on dust concentration and diffusion range, quantify the impact coefficient of each factor on dust concentration and diffusion range, and send the impact coefficient to the prevention and control management unit. The prevention and control management unit is used to obtain the impact coefficient. Based on the preset dust control standard threshold, it compares the dust concentration and diffusion range of each area. Based on the comparison results, it determines the degree of exceedance of the dust concentration and diffusion range of each area. Based on the determined degree of exceedance, it generates a prevention and control management strategy and converts the prevention and control management strategy into control commands and sends them to the management terminal.
[0016] Topographic data includes elevation and slope data; the BIM model contains geometric and structural information of buildings; and operational status data includes operating power (P) and operating duration. Start-stop frequency Meteorological data includes wind speed Temperature (T), humidity (H), and building material property data including sand and gravel particle size (d) and mud content. .
[0017] The specific process for outputting the dust concentration and diffusion range of each area is as follows: S101. Obtain the terrain data of the construction site from the geographic information system, obtain the BIM model, and integrate the terrain data with the BIM model. Use 3D modeling software to construct a 3D virtual space of the construction site. According to the functional zoning of the construction site, divide the construction site into areas in the constructed 3D virtual space and assign a unique identifier number to each area. S102. Obtain the quantity and operating status data of construction equipment in each area. Combined with meteorological data and building material characteristic data at the construction site, simulate the fluid flow in the three-dimensional virtual space using the finite volume method. The Navier-Stokes equations are as follows: ; in, It is the local derivative of the velocity field u with respect to time t, representing the rate of change of velocity with time at a fixed spatial point. It is used to reflect the local change of velocity of a fluid particle at a certain location with time. It is a convective term. It is a differential operator used to describe the change in velocity of a fluid particle during its motion due to the spatial inhomogeneity of the fluid. This is the pressure gradient term, where ρ is the fluid density and p is the pressure field. It is a pressure gradient; This is the viscosity term, where v is the kinematic viscosity of the fluid. It is the Laplace operator; f is gravity; S103. Select the Lagrange particle tracking model to perform particle dynamics simulation, and obtain the velocity field of each region in the three-dimensional virtual space at different times based on fluid flow simulation. The velocity field is passed as input to the Lagrange particle tracking model, and based on each dust particle and its location... The fluid velocity at that location can be obtained by interpolation from the velocity field. The motion of dust particles in a fluid is simulated by tracking the trajectory of a single particle using a Lagrange particle tracking model. The particle motion equation is as follows: ; ; Where u has the same meaning as in fluid flow simulation, it represents the velocity field of the fluid surrounding the particle's location. In calculation, it is the fluid velocity vector value corresponding to that location. x is the particle position. It's particle velocity. Where g is the particle response time and g is the gravitational acceleration; Indicates particle velocity. Indicates particle acceleration; By using numerical integration, the position and velocity of the particle are calculated step by step based on its initial position and initial velocity, thereby tracking the particle's trajectory in a three-dimensional virtual space. S104, Based on the density of sand and gravel and particle volume Calculate the mass of a single particle The system iterates through the trajectories of all dust particles within each region, identifies the particles located within that region at the time of calculation, and calculates the total mass of the particles. ; According to the definition of dust concentration, the formula for calculating the dust concentration C in each area is as follows: ; in, These are the coordinates of the region's center. It is the volume of the region; S105. By tracking the trajectory of each particle in the three-dimensional virtual space, record the farthest position that each particle can reach within the simulation time range, find the farthest reaching position among all particles, and determine the distance between this position and the dust source as the diffusion range R of the dust particles in the three-dimensional virtual space. Adjust the parameters based on the simulation results, repeat the simulation process until the results converge, and output the dust concentration in each region at different times and the diffusion range of dust particles in the three-dimensional virtual space.
[0018] The specific process for quantifying the influence coefficients of each factor on dust concentration and diffusion range is as follows: S201. Obtain the simulation results and establish a dust diffusion correlation model using a multiple linear regression algorithm. The formula is as follows: ; ; Where C is the dust concentration and R is the diffusion range. and Here are the regression coefficients, e and k are the error terms, and n is the number of construction equipment. S202. Calculate the regression coefficients using the least squares method. and ,in, ; The influence coefficients of each factor on dust concentration and diffusion range were quantified using regression coefficients. The influence coefficient of each factor on dust concentration is the corresponding regression coefficient. The coefficient of influence on the diffusion range is the corresponding regression coefficient. .
[0019] The specific process for determining the degree of exceedance of dust concentration and diffusion range in each area is as follows: S301. Obtain the influence coefficients of each factor on dust concentration and diffusion range. Based on the preset prevention and control standard threshold, compare the dust concentration and diffusion range of each area and calculate the degree of exceedance of dust concentration and diffusion range in each area. S302, dust concentration exceeding the standard The calculation formula is: ; in, The preset threshold for dust concentration control standards; S303, degree of exceedance of diffusion range The calculation formula is: ; in, The preset threshold for controlling the spread range; S304, when or When the dust concentration or diffusion range in the area exceeds the standard, the greater the degree of exceedance, the more serious the dust pollution.
[0020] The specific process for synchronously generating prevention and control management strategies is as follows: S401. Based on the degree of exceedance of dust concentration and diffusion range in each area, the exceedance levels are classified as follows: when and At that time, it was determined to be a slight exceedance; when and At that time, it was determined to be a moderate exceedance; when or At that time, it was determined to be a severe case of exceeding the standard; in, , , , All are preset level thresholds; S402. Based on the classification of exceedance levels, the following prevention and control management strategies are formulated for different exceedance levels: Slight exceedance: Increase the frequency of water spraying to reduce dust at the construction site; Moderate exceedance: Cover building materials and set up barriers to reduce dust spread; Severe exceedance: Stop construction activities in the area and conduct a comprehensive cleanup and rectification of the construction site; S403. Transform the established prevention and control management strategy into control instructions and send them to the management terminal.
[0021] By acquiring topographic data of the construction site and constructing a 3D virtual space using a BIM model, the construction site is divided into zones according to functional zoning. Simultaneously, the quantity and operational status data of construction equipment in each zone are acquired. Combined with meteorological data and building material characteristic data, the generation and diffusion of dust are simulated for each zone, outputting the dust concentration and diffusion range for each zone. Based on the simulation results, a dust diffusion correlation model is established to analyze the impact on dust concentration and diffusion range, quantifying the influence coefficients of each factor on dust concentration and diffusion range. Based on preset dust control standard thresholds, the dust concentration and diffusion range of each zone are then determined. By comparing dust concentration and diffusion range, the degree of exceedance of dust concentration and diffusion range in each area is determined based on the comparison results. Based on the determined degree of exceedance, a prevention and control management strategy is generated simultaneously and converted into control instructions and sent to the management terminal. This can comprehensively and accurately reflect the actual situation of dust generation and diffusion at the construction site, quantify the influence coefficient of each factor on dust, and make dust management no longer rely on experience but on scientific data analysis. This enables precise control of dust problems, helps to clarify the degree of influence of different areas and factors on dust, and thus allows for the rational allocation of prevention and control resources, avoids excessive waste of resources, and reduces the cost of dust management.
[0022] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value.
[0023] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation. In the two embodiments provided in this application, it should be understood that the disclosed apparatus and system can be implemented in other ways; for example, the apparatus embodiments described above are merely illustrative, and the division of modules is merely a logical functional division. In actual implementation, there may be other division methods, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed; furthermore, the coupling or direct coupling or communication connection between the shown or discussed mutuals can be through some interfaces, and the indirect coupling or communication connection between the apparatus or modules can be electrical, mechanical or other forms. The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.
Claims
1. A BIM-based smart construction site management system, characterized in that, It includes a simulation analysis unit, an impact assessment unit, and a prevention and control management unit; The simulation analysis unit is used to acquire terrain data of the construction site, construct a three-dimensional virtual space in combination with the BIM model, and divide the construction site into areas in the constructed three-dimensional virtual space according to functional zoning. At the same time, it acquires the number and operating status data of construction equipment in each area, and simulates the generation and diffusion of dust in each area in combination with meteorological data and building material characteristic data of the construction site. It outputs the dust concentration and diffusion range of each area and sends the simulation results to the impact assessment unit. The impact assessment unit is used to obtain simulation results, establish a dust diffusion correlation model, analyze the impact of the number of construction equipment, operating status data, meteorological data, and building material characteristic data on dust concentration and diffusion range, quantify the impact coefficient of each factor on dust concentration and diffusion range, and send the impact coefficient to the prevention and control management unit. The prevention and control management unit is used to obtain the impact coefficient, compare the dust concentration and diffusion range of each area according to the preset dust prevention and control standard threshold, determine the degree of exceedance of dust concentration and diffusion range in each area based on the comparison results, generate a prevention and control management strategy based on the determined degree of exceedance, and convert the prevention and control management strategy into control commands and send them to the management terminal.
2. The BIM-based smart construction site management system according to claim 1, characterized in that, The terrain data includes terrain elevation data and slope data; the BIM model contains geometric and structural information of buildings; and the operational status data includes operational power P and operating time. Start-stop frequency The meteorological data includes wind speed. Temperature T and humidity H; the building material characteristic data includes the particle size d of sand and gravel and the mud content. .
3. The BIM-based smart construction site management system according to claim 2, characterized in that, The specific process for outputting the dust concentration and diffusion range of each area is as follows: S101. Obtain the terrain data of the construction site from the geographic information system, obtain the BIM model, and integrate the terrain data with the BIM model. Use 3D modeling software to construct a 3D virtual space of the construction site. According to the functional zoning of the construction site, divide the construction site into areas in the constructed 3D virtual space and assign a unique identifier number to each area. S102. Obtain the quantity and operating status data of construction equipment in each area. Combined with meteorological data and building material characteristic data at the construction site, simulate the fluid flow in the three-dimensional virtual space using the finite volume method. The Navier-Stokes equations are as follows: ； in, It is the local derivative of the velocity field u with respect to time t, representing the rate of change of velocity with time at a fixed spatial point. It is used to reflect the local change of velocity of a fluid particle at a certain location with time. It is a convective term. It is a differential operator used to describe the change in velocity of a fluid particle during its motion due to the spatial inhomogeneity of the fluid. This is the pressure gradient term, where ρ is the fluid density and p is the pressure field. It is a pressure gradient; This is the viscosity term, where v is the kinematic viscosity of the fluid. It is the Laplace operator; f is gravity; S103. Select the Lagrange particle tracking model to perform particle dynamics simulation, and obtain the velocity field of each region in the three-dimensional virtual space at different times based on fluid flow simulation. The velocity field is passed as input to the Lagrange particle tracking model, and based on each dust particle and its location... The fluid velocity at that location can be obtained by interpolation from the velocity field. The motion of dust particles in a fluid is simulated by tracking the trajectory of a single particle using a Lagrange particle tracking model. The particle motion equation is as follows: ； ； Where u has the same meaning as in fluid flow simulation, it represents the velocity field of the fluid surrounding the particle's location. In calculation, it is the fluid velocity vector value corresponding to that location. x is the particle position. It's particle velocity. Where g is the particle response time and g is the gravitational acceleration; Indicates particle velocity. Indicates particle acceleration; By using numerical integration, the position and velocity of the particle are calculated step by step based on its initial position and initial velocity, thereby tracking the particle's trajectory in a three-dimensional virtual space. S104, Based on the density of sand and gravel and particle volume Calculate the mass of a single particle The system iterates through the trajectories of all dust particles within each region, identifies the particles located within that region at the time of calculation, and calculates the total mass of the particles. ; According to the definition of dust concentration, the formula for calculating the dust concentration C in each area is as follows: ； in, These are the coordinates of the region's center. It is the volume of the region; S105. By tracking the trajectory of each particle in the three-dimensional virtual space, record the farthest position that each particle can reach within the simulation time range, find the farthest reaching position among all particles, and determine the distance between this position and the dust source as the diffusion range R of the dust particles in the three-dimensional virtual space. Adjust the parameters based on the simulation results, repeat the simulation process until the results converge, and output the dust concentration in each region at different times and the diffusion range of dust particles in the three-dimensional virtual space.
4. The BIM-based smart construction site management system according to claim 3, characterized in that, The specific process for quantifying the influence coefficients of each factor on dust concentration and diffusion range is as follows: S201. Obtain the simulation results and establish a dust diffusion correlation model using a multiple linear regression algorithm. The formula is as follows: ； ； Where C is the dust concentration and R is the diffusion range. and Here are the regression coefficients, e and k are the error terms, and n is the number of construction equipment. S202. Calculate the regression coefficients using the least squares method. and ,in, ; The influence coefficients of each factor on dust concentration and diffusion range were quantified using regression coefficients. The influence coefficient of each factor on dust concentration is the corresponding regression coefficient. The coefficient of influence on the diffusion range is the corresponding regression coefficient. .
5. The BIM-based smart construction site management system according to claim 4, characterized in that, The specific process for determining the degree of exceedance of dust concentration and diffusion range in each area is as follows: S301. Obtain the influence coefficients of each factor on dust concentration and diffusion range. Based on the preset prevention and control standard threshold, compare the dust concentration and diffusion range of each area and calculate the degree of exceedance of dust concentration and diffusion range in each area. S302, dust concentration exceeding the standard The calculation formula is: ； in, The preset threshold for dust concentration control standards; S303, degree of exceedance of diffusion range The calculation formula is: ； in, The preset threshold for controlling the spread range; S304, when or When the dust concentration or diffusion range in the area exceeds the standard, the greater the degree of exceedance, the more serious the dust pollution.
6. The BIM-based smart construction site management system according to claim 5, characterized in that, The specific process for synchronously generating prevention and control management strategies is as follows: S401. Based on the degree of exceedance of dust concentration and diffusion range in each area, the exceedance levels are classified as follows: when and At that time, it was determined to be a slight exceedance; when and At that time, it was determined to be a moderate exceedance; when or At that time, it was determined to be a severe case of exceeding the standard; in, , , , All are preset level thresholds; S402. Based on the classification of exceedance levels, the following prevention and control management strategies are formulated for different exceedance levels: Slight exceedance: Increase the frequency of water spraying to reduce dust at the construction site; Moderate exceedance: Cover building materials and set up barriers to reduce dust spread; Severe exceedance: Stop construction activities in the area and conduct a comprehensive cleanup and rectification of the construction site; S403. Transform the established prevention and control management strategy into control instructions and send them to the management terminal.