CN118469327A - Building intelligent management system based on BIM - Google Patents

Abstract

The invention relates to the technical field of intelligent systems and BIMs, and particularly discloses a building intelligent management system based on a BIM, which comprises a model building module, a building construction data acquisition module, a building construction data processing module, a building construction data analysis module, a building construction data comprehensive analysis module, an intelligent management judgment module, a decision support module and a user interaction and display module; the invention combines BIM technology with intelligent construction to realize the cooperative work of building construction design and building construction process; through real-time data sharing and intelligent analysis, delay and repeated work of information transmission are reduced, and the work efficiency is improved; the system can accurately judge the potential risk in the building construction process based on the safety abnormality index model; the decision support module can generate decision suggestions according to the management judgment result.

Description

A BIM-based building intelligent management system

Technical Field

The present invention relates to the field of intelligent systems and BIM technology, and in particular to a BIM-based building intelligent management system.

Background Art

With the acceleration of urbanization and the continuous expansion of the building market, traditional building management methods can no longer meet the needs of modern management. BIM technology, as a new type of building informationization means, can realize the digitization, visualization and coordination of building information, providing a new solution for building management.

The existing building management system mainly provides a comprehensive and efficient intelligent management system for buildings through the integrated design concept of data collection, monitoring, control and management; the system integrates various facilities, equipment, environment and other information in the building into a unified platform based on big data analysis technology, which enables managers to view the real-time status of the building anytime and anywhere, understand the operation status of various facilities, and discover and deal with problems in a timely manner.

However, it still has some shortcomings in actual use. On the one hand, the existing building management systems often rely on manual inspections and paper records, which are not only inefficient but also prone to errors, making it difficult to adapt to the increasingly complex and changeable management needs of modern buildings; on the other hand, the existing construction management systems often have problems such as delayed information transmission, inconsistent data, and low management efficiency, which seriously restrict the quality and efficiency of building construction, and cannot achieve efficient and accurate coordination of building design and construction, and have the shortcomings of low work efficiency and large errors.

Summary of the invention

In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a BIM-based building intelligent management system to solve the problems raised in the above-mentioned background technology.

To achieve the above objectives, the present invention provides the following technical solutions: a BIM-based building intelligent management system, comprising a model building module, a building construction data acquisition module, a building construction data processing module, a building construction data analysis module, a building construction data comprehensive analysis module, an intelligent management judgment module, a decision support module, and a user interaction and display module.

Model building module: using BIM technology to build a three-dimensional building information model of the building according to the building design information, the three-dimensional building information model includes the building's geometry, structure, equipment, material information, construction progress, engineering plan, and economic cost;

Building construction data acquisition module: used to collect comprehensive parameters of the building construction site in the model building module, the comprehensive parameters include building construction environment parameters, building construction progress parameters, building construction quality parameters, and building construction economic cost parameters, and transmit the collected comprehensive parameters to the building construction data processing module;

Building construction data processing module: used for preprocessing the comprehensive parameters collected by the building construction data collection module, and transmitting the preprocessed data to the building construction data analysis module;

Building construction data analysis module: including a building construction environment quality assessment coefficient analysis unit, a building construction progress deviation coefficient analysis unit, a building construction quality evaluation coefficient analysis unit, and a building construction economic cost deviation coefficient analysis unit; each analysis unit is used to establish a corresponding mathematical model, import the parameters obtained after preprocessing in the building construction data processing module into the corresponding mathematical model, calculate the building construction environment quality assessment coefficient, the building construction progress deviation coefficient, the building construction quality evaluation coefficient, and the building construction economic cost deviation coefficient, and transmit the calculated coefficients to the building construction data comprehensive analysis module;

Building construction data comprehensive analysis module: used to import the building construction environment quality assessment coefficient, building construction progress deviation coefficient, building construction quality evaluation coefficient, and building construction economic cost deviation coefficient calculated by the building construction data analysis module into the building construction comprehensive abnormality index calculation model, calculate the building construction comprehensive abnormality index, and transmit the building construction comprehensive abnormality index to the intelligent management judgment module;

Intelligent management judgment module: used to compare the building construction comprehensive abnormality index calculated by the building construction data comprehensive analysis module with the comprehensive abnormality index threshold, obtain a judgment result, and transmit the judgment result to the decision support module;

Decision support module: used to receive the judgment results in the intelligent management judgment module, generate targeted decision suggestions according to the judgment results, and transmit the decision suggestions to the user interaction and display module;

User interaction and display module: used to receive and display real-time data, analysis reports, judgment results in the intelligent management judgment module, decision suggestions in the decision support module, and actual operation scenes during the building construction process, forming an intuitive three-dimensional visualization interface for operators or managers to conduct real-time monitoring, decision-making and guidance.

Preferably, the building construction environment parameters include building outdoor temperature, building indoor temperature, nitric oxide concentration, building window vent area, average wind speed of window vent, and building indoor space volume, which are marked as T _out , _Tin , A _pc , _Va , V _ws , and Vol, respectively;

The building construction progress parameters include the planned building construction time, the actual building construction time, the rainfall during the building construction process, and the number of building architectural design changes, which are marked as Pct, Act, Cp_r, and Ad_cf respectively;

The building construction quality parameters include the number of materials that have passed the inspection, the total number of materials inspected, the number of errors in the design phase, the total design task volume, the actual structural displacement, the architectural design displacement, and the strength of the concrete, which are marked as Rn_q, Rn_t, De_q, De_t, As_d, Ad_d, and St respectively;

The building construction economic cost parameters include actual raw material cost of building construction, planned raw material cost of building construction, labor cost of building construction, water and electricity cost of building construction, maintenance cost of building construction, and usage time of building construction equipment, which are marked as A_mc, P_mc, Lc, WE_c, M_c, and E_ut respectively.

Preferably, the specific calculation model of the building construction environment quality assessment coefficient is as follows:

Among them, EQC is represented by the building construction environment quality assessment coefficient, T _out is represented by the outdoor temperature of the building, _Tin is represented by the indoor temperature of the building, ΔTt is represented by the preset allowable temperature change error value of the building during the monitoring and management process, e is represented by the natural constant, A _pc is represented by the nitric oxide concentration, A _pcmax is represented by the maximum nitric oxide concentration of the target building, A _pcmin is represented by the minimum nitric oxide concentration of the target building, _Va is represented by the window vent area of the building, _Vws is represented by the average wind speed of the window vent, ρ is represented by the air density, Vol is represented by the indoor space volume of the building, k is represented by a constant, α and β are represented by the influencing factors of temperature change and nitric oxide concentration, respectively.

Preferably, the specific calculation model of the building construction progress deviation coefficient is as follows:

Among them, PDC represents the deviation coefficient of building construction progress, Cp_r represents the rainfall during the building construction process, Cp_r _max represents the maximum rainfall allowed during the building construction process, e represents the natural constant, Ad_cf represents the number of building architectural design changes, Pct represents the planned construction time of the building, Act represents the actual construction time of the building, γ and λ represent other influencing factors of rainfall during the construction process and other influencing factors of the construction progress, respectively.

Preferably, the specific mathematical model of the building construction quality evaluation coefficient is as follows:

Among them, QEC represents the building construction quality evaluation coefficient, Rn_q represents the number of materials that have passed the inspection, Rn_t represents the total number of materials inspected, De_q represents the number of errors that occurred in the design stage, De_t represents the total design task volume, As_d represents the actual structural displacement, Ad_d represents the building design displacement, St represents the strength of concrete, St _min represents the minimum concrete strength allowed during building construction, and μ represents other influencing factors of the building construction quality evaluation coefficient.

Preferably, the specific mathematical model of the building construction economic cost deviation coefficient is as follows:

Among them, CDC represents the economic cost deviation coefficient of building construction, A_mc represents the actual raw material cost of building construction, P_mc represents the planned raw material cost of building construction, Lc represents the labor cost of building construction, WE_c represents the water and electricity cost of building construction, Mc represents the maintenance cost of building construction, E_ut represents the use time of building construction equipment, and ξ represents other influencing factors of the economic cost deviation coefficient.

Preferably, the specific calculation model of the building construction comprehensive abnormality index is as follows:

Among them, CAI represents the comprehensive abnormality index of building construction, EQC represents the environmental quality assessment coefficient of building construction, PDC represents the progress deviation coefficient of building construction, QEC represents the quality evaluation coefficient of building construction, CDC represents the economic cost deviation coefficient of building construction, and k1, k2, k3, and k4 are respectively represented as constants.

Preferably, the comprehensive abnormality index threshold is expressed as Δψ. When CAI>Δψ, it means that the comprehensive abnormality index of building construction is greater than the comprehensive abnormality index, indicating that there is no abnormality in the building during the construction process, and the collection and analysis of the building construction site data is maintained; when CAI<Δψ, it means that the comprehensive abnormality index of building construction is less than the comprehensive abnormality index, indicating that there is an abnormality in the building during the construction process, and the data of the building construction site is generated into an analysis report and an early warning signal is issued.

Technical effects and advantages of the present invention:

1. The present invention combines BIM technology with intelligent construction to achieve collaborative work in the process of building architectural design and building construction; through real-time data sharing and intelligent analysis, it reduces information transmission delays and duplication of work and improves work efficiency;

2. The present invention realizes comprehensive monitoring and intelligent management of building construction sites; through automated data collection and analysis, it reduces the time for manual recording and processing, allowing project managers to obtain real-time information on the construction site more quickly, improve work efficiency, reduce errors, and thus make more timely decisions and adjustments;

3. The present invention supports multi-professional collaborative design through a model building module, realizes real-time updating and sharing of design information, and reduces design errors.

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

FIG1 is a schematic diagram of the overall system structure of the present invention;

FIG. 2 is a schematic diagram of the structure of the analysis unit of the building construction data analysis module in the system of the present invention.

DETAILED DESCRIPTION

The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

Please refer to Figure 1, the present invention provides a BIM-based building intelligent management system, including a model building module, a building construction data acquisition module, a building construction data processing module, a building construction data analysis module, a building construction data comprehensive analysis module, an intelligent management judgment module, a decision support module, and a user interaction and display module.

The output end of the model building module is connected to the input end of the building construction data acquisition module by telecommunication, the output end of the building construction data acquisition module is connected to the input end of the building construction data processing module by telecommunication, the output end of the building construction data processing module is connected to the input end of the building construction data analysis module by telecommunication, the output end of the building construction data analysis module is connected to the input end of the building construction data comprehensive analysis module by telecommunication, the output end of the building construction data comprehensive analysis module is connected to the input end of the intelligent management judgment module by telecommunication, the output end of the management judgment module is connected to the input end of the decision support module by telecommunication, the output end of the building construction data analysis module, the output end of the building construction data comprehensive analysis module, the output end of the intelligent management judgment module, and the output end of the decision support module are respectively connected to the input end of the user interaction and display module.

The model building module uses BIM technology to build a three-dimensional building information model of the building according to the building design information. The three-dimensional building information model includes the building's geometric shape, structure, equipment, material information, construction progress, engineering plan, and economic cost;

In this embodiment, it should be specifically explained that the model building module can realize comprehensive integration and visual display of information, specifically: the model building module forms a comprehensive and unified data platform by integrating all relevant information of the construction project; this information integration enables the project team to collaborate on a single platform, avoiding information islands and duplication of work, and improving work efficiency; and the visual display function of the BIM model makes the design, construction and management process of the construction project more intuitive. Through three-dimensional models, animation, virtual reality and other technologies, the project team can have a clearer understanding of the form, structure and function of the building, and discover and solve problems in advance; at the same time, data visualization also makes the analysis and decision-making of project data more convenient.

The building construction data acquisition module is used to collect comprehensive parameters of the building construction site in the model building module, wherein the comprehensive parameters include building construction environment parameters, building construction progress parameters, building construction quality parameters, and building construction economic cost parameters, and transmit the collected comprehensive parameters to the building construction data processing module;

In this embodiment, it should be specifically noted that the building construction environment parameters include the building outdoor temperature, the building indoor temperature, the nitric oxide concentration, the building window vent area, the average wind speed of the window vent, and the building indoor space volume, which are marked as T _out , _Tin , A _pc , _Va , V _ws , and Vol, respectively;

What needs to be specifically explained in this embodiment is that the existing parameters for judging the quality of the construction environment are mainly based on dust density and light intensity as references. This embodiment is based on the comparison of the actual construction environment and adopts multiple sets of parameters as the parameters for judging the quality of the construction environment. The main parameters affecting the quality of the construction environment also include the outdoor temperature of the building, the indoor temperature of the building, the concentration of nitric oxide, the area of the building window vents, and the average wind speed of the window vents. Other environmental factors, including the density of construction personnel and the impact of sunlight during the construction process, are all low-impact parameters. Therefore, in the specific implementation process, this embodiment does not make specific data collection and analysis.

The building construction progress parameters include the planned building construction time, the actual building construction time, the rainfall during the building construction process, and the number of building architectural design changes, which are marked as Pct, Act, Cp_r, and Ad_cf respectively;

The building construction quality parameters include the number of materials that have passed the inspection, the total number of materials inspected, the number of errors in the design phase, the total design task volume, the actual structural displacement, the architectural design displacement, and the strength of the concrete, which are marked as Rn_q, Rn_t, De_q, De_t, As_d, Ad_d, and St respectively;

In this embodiment, it should be specifically explained that: the structural displacement refers to the movement of the position of a point on the structure or the rotation of the cross section; it is mainly caused by load action, temperature change, support settlement, error in the size of structural components, and changes in the properties of structural materials over time;

The building construction economic cost parameters include the actual raw material cost of building construction, the planned raw material cost of building construction, the labor cost of building construction, the water and electricity cost of building construction, the maintenance cost of building construction, and the use time of building construction equipment, which are marked as A_mc, P_mc, Lc, WE_c, M_c, and E_ut respectively;

The building construction data processing module is used to pre-process the comprehensive parameters collected by the building construction data collection module, and transmit the pre-processed data to the building construction data analysis module;

The building construction data analysis module includes a building construction environment quality assessment coefficient analysis unit, a building construction progress deviation coefficient analysis unit, a building construction quality evaluation coefficient analysis unit, and a building construction economic cost deviation coefficient analysis unit; each analysis unit is used to establish a corresponding mathematical model, import the parameters obtained after preprocessing in the building construction data processing module into the corresponding mathematical model, calculate the building construction environment quality assessment coefficient, the building construction progress deviation coefficient, the building construction quality evaluation coefficient, and the building construction economic cost deviation coefficient, and transmit the calculated coefficients to the building construction data comprehensive analysis module;

In this embodiment, it should be specifically explained that the specific calculation model of the building construction environment quality assessment coefficient is as follows:

Wherein, EQC represents the building construction environment quality assessment coefficient, T _out represents the building outdoor temperature, _Tin represents the building indoor temperature, ΔTt represents the preset allowable temperature change error value of the building during the monitoring and management process, e represents the natural constant, A _pc represents the nitric oxide concentration, A _pcmax represents the maximum nitric oxide concentration of the target building, A _pcmin represents the minimum nitric oxide concentration of the target building, _Va represents the building window vent area, _Vws represents the average wind speed of the window vent, ρ represents the air density, Vol represents the building indoor space volume, k represents the constant, α and β represent the influencing factors of temperature change and nitric oxide concentration, respectively;

In this embodiment, through real-time monitoring and analysis, the stability of the construction environment can be ensured and the safety of the project can be improved. These data are essential for maintaining a good indoor environment and improving the comfort of residents.

In this embodiment, it should be specifically explained that the specific calculation model of the building construction progress deviation coefficient is as follows:

Among them, PDC represents the deviation coefficient of building construction progress, Cp_r represents the rainfall during the building construction process, Cp_r _max represents the maximum rainfall allowed during the building construction process, e represents the natural constant, Ad_cf represents the number of building architectural design changes, Pct represents the planned construction time of the building, Act represents the actual construction time of the building, γ and λ represent other influencing factors of rainfall during the construction process and other influencing factors of the construction progress, respectively;

In this embodiment, it should be specifically noted that the amount of rainfall will affect the progress of construction. By calculating and analyzing the rainfall and the maximum rainfall allowed during the building construction process, the progress of construction can be clarified. At the same time, the waste of resources can be reduced and the construction efficiency can be improved through an optimized construction plan.

In this embodiment, it should be specifically explained that the specific mathematical model of the building construction quality evaluation coefficient is as follows:

Among them, QEC represents the building construction quality evaluation coefficient, Rn_q represents the number of materials that have passed the inspection, Rn_t represents the total number of materials inspected, De_q represents the number of errors that occurred in the design stage, De_t represents the total design task volume, As_d represents the actual structural displacement, Ad_d represents the building design displacement, St represents the strength of concrete, St _min represents the minimum concrete strength allowed during the construction of the building, and μ represents other influencing factors of the building construction quality evaluation coefficient;

In this embodiment, it should be specifically explained that the specific mathematical model of the building construction economic cost deviation coefficient is as follows:

Among them, CDC represents the economic cost deviation coefficient of building construction, A_mc represents the actual raw material cost of building construction, P_mc represents the planned raw material cost of building construction, Lc represents the labor cost of building construction, WE_c represents the water and electricity cost of building construction, M_c represents the maintenance cost of building construction, E_ut represents the use time of building construction equipment, and ξ represents other influencing factors of the economic cost deviation coefficient;

The building construction data comprehensive analysis module is used to import the building construction environment quality assessment coefficient, the building construction progress deviation coefficient, the building construction quality evaluation coefficient, and the building construction economic cost deviation coefficient calculated by the building construction data analysis module into the building construction comprehensive abnormality index calculation model, calculate the building construction comprehensive abnormality index, and transmit the building construction comprehensive abnormality index to the intelligent management judgment module;

In this embodiment, it should be specifically explained that the specific calculation model of the building construction comprehensive abnormality index is as follows:

Among them, CAI represents the comprehensive abnormality index of building construction, EQC represents the environmental quality assessment coefficient of building construction, PDC represents the progress deviation coefficient of building construction, QEC represents the quality evaluation coefficient of building construction, CDC represents the economic cost deviation coefficient of building construction, and k1, k2, k3, and k4 are respectively represented as constants.

The intelligent management judgment module is used to compare the building construction comprehensive abnormality index calculated by the building construction data comprehensive analysis module with the comprehensive abnormality index threshold, obtain a judgment result, and transmit the judgment result to the decision support module;

In this embodiment, it should be specifically explained that the comprehensive abnormality index threshold is expressed as Δψ. When CAI>Δψ, it means that the comprehensive abnormality index of building construction is greater than the comprehensive abnormality index, indicating that there is no abnormality in the building during the construction process, and the collection and analysis of the building construction site data is maintained; when CAI<Δψ, it means that the comprehensive abnormality index of building construction is less than the comprehensive abnormality index, indicating that there is an abnormality in the building during the construction process, and the data of the building construction site is generated into an analysis report and an early warning signal is issued;

The decision support module is used to receive the judgment result in the intelligent management judgment module, generate targeted decision suggestions according to the judgment result, and transmit the decision suggestions to the user interaction and display module;

The user interaction and display module is used to receive and display real-time data, analysis reports, judgment results in the intelligent management judgment module, decision suggestions in the decision support module, and actual operation scenes during the building construction process, forming an intuitive three-dimensional visualization interface for operators or managers to conduct real-time monitoring, decision-making and guidance.

The BIM-based building intelligent management system of the present invention realizes comprehensive monitoring and intelligent management of building construction sites through its integrated model construction module, building construction data acquisition module, building construction data processing module, building construction data analysis module, building construction data comprehensive analysis module, intelligent management judgment module, and user interaction and display module; through automated data acquisition and analysis, the time for manual recording and processing is reduced, so that project managers can obtain real-time information of the construction site more quickly, improve work efficiency, reduce errors, and thus make more timely decisions and adjustments; the introduction of the building construction data comprehensive analysis module enables the system to accurately judge the potential risks in the building construction process based on the safety anomaly index model; the decision support module can generate targeted decision suggestions based on the judgment results and other relevant data in the intelligent management judgment module. The user interaction and display module can realize real-time data sharing, and can form an intuitive three-dimensional visualization interface for operators or managers to conduct real-time monitoring, decision-making and guidance.

Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims (8)

1. A BIM-based building intelligent management system, characterized by comprising: Model building module: using BIM technology to build a three-dimensional building information model of the building according to the building design information, the three-dimensional building information model includes the building's geometry, structure, equipment, material information, construction progress, engineering plan, and economic cost; Building construction data acquisition module: used to collect comprehensive parameters of the building construction site in the model building module, the comprehensive parameters include building construction environment parameters, building construction progress parameters, building construction quality parameters, and building construction economic cost parameters, and transmit the collected comprehensive parameters to the building construction data processing module; Building construction data processing module: used for preprocessing the comprehensive parameters collected by the building construction data collection module, and transmitting the preprocessed data to the building construction data analysis module; Building construction data analysis module: including a building construction environment quality assessment coefficient analysis unit, a building construction progress deviation coefficient analysis unit, a building construction quality evaluation coefficient analysis unit, and a building construction economic cost deviation coefficient analysis unit; each analysis unit is used to establish a corresponding mathematical model, import the parameters obtained after preprocessing in the building construction data processing module into the corresponding mathematical model, calculate the building construction environment quality assessment coefficient, the building construction progress deviation coefficient, the building construction quality evaluation coefficient, and the building construction economic cost deviation coefficient, and transmit the calculated coefficients to the building construction data comprehensive analysis module; Building construction data comprehensive analysis module: used to import the building construction environment quality assessment coefficient, building construction progress deviation coefficient, building construction quality evaluation coefficient, and building construction economic cost deviation coefficient calculated by the building construction data analysis module into the building construction comprehensive abnormality index calculation model, calculate the building construction comprehensive abnormality index, and transmit the building construction comprehensive abnormality index to the intelligent management judgment module; Intelligent management judgment module: used to compare the building construction comprehensive abnormality index calculated by the building construction data comprehensive analysis module with the comprehensive abnormality index threshold, obtain a judgment result, and transmit the judgment result to the decision support module; Decision support module: used to receive the judgment results in the intelligent management judgment module, generate targeted decision suggestions according to the judgment results, and transmit the decision suggestions to the user interaction and display module; User interaction and display module: used to receive and display real-time data, analysis reports, judgment results in the intelligent management judgment module, decision suggestions in the decision support module, and actual operation scenes during the building construction process, forming an intuitive three-dimensional visualization interface for operators or managers to conduct real-time monitoring, decision-making and guidance. 2. According to claim 1, a BIM-based building intelligent management system is characterized in that: the building construction environment parameters include building outdoor temperature, building indoor temperature, nitric oxide concentration, building window vent area, average wind speed of window vent, and building indoor space volume; The building construction progress parameters include the planned building construction time, the actual building construction time, the rainfall during the building construction process, and the number of building architectural design changes; The building construction quality parameters include the number of materials that have passed the inspection, the total number of materials inspected, the number of errors that occurred during the design phase, the total design workload, the actual structural displacement, the architectural design displacement, and the strength of the concrete; The building construction economic cost parameters include actual raw material costs for building construction, planned raw material costs for building construction, labor costs for building construction, water and electricity costs for building construction, maintenance costs for building construction, and usage time of building construction equipment. 3. According to the BIM-based building intelligent management system of claim 1, it is characterized in that: the specific calculation model of the building construction environment quality assessment coefficient is as follows: Among them, EQC is represented by the building construction environment quality assessment coefficient, T _out is represented by the outdoor temperature of the building, _Tin is represented by the indoor temperature of the building, ΔTt is represented by the preset allowable temperature change error value of the building during the monitoring and management process, e is represented by the natural constant, A _pc is represented by the nitric oxide concentration, A _pcmax is represented by the maximum nitric oxide concentration of the target building, A _pcmin is represented by the minimum nitric oxide concentration of the target building, _Va is represented by the window vent area of the building, _Vws is represented by the average wind speed of the window vent, ρ is represented by the air density, Vol is represented by the indoor space volume of the building, k is represented by a constant, α and β are represented by the influencing factors of temperature change and nitric oxide concentration, respectively. 4. According to the BIM-based building intelligent management system of claim 1, it is characterized in that: the specific calculation model of the building construction progress deviation coefficient is as follows: Among them, PDC represents the deviation coefficient of building construction progress, Cp_r represents the rainfall during the building construction process, Cp_r _max represents the maximum rainfall allowed during the building construction process, e represents the natural constant, Ad_cf represents the number of building architectural design changes, Pct represents the planned construction time of the building, Act represents the actual construction time of the building, γ and λ represent other influencing factors of rainfall during the construction process and other influencing factors of the construction progress, respectively. 5. According to the BIM-based building intelligent management system of claim 1, it is characterized in that: the specific mathematical model of the building construction quality evaluation coefficient is as follows: Among them, QEC represents the building construction quality evaluation coefficient, Rn_q represents the number of materials that have passed the inspection, Rn_t represents the total number of materials inspected, De_q represents the number of errors that occurred in the design stage, De_t represents the total design task volume, As_d represents the actual structural displacement, Ad_d represents the building design displacement, St represents the strength of concrete, St _min represents the minimum concrete strength allowed during building construction, and μ represents other influencing factors of the building construction quality evaluation coefficient. 6. The BIM-based building intelligent management system according to claim 1 is characterized in that the specific mathematical model of the building construction economic cost deviation coefficient is as follows: Among them, CDC represents the economic cost deviation coefficient of building construction, A_mc represents the actual raw material cost of building construction, P_mc represents the planned raw material cost of building construction, Lc represents the labor cost of building construction, WE_c represents the water and electricity cost of building construction, Mc represents the maintenance cost of building construction, E_ut represents the use time of building construction equipment, and ξ represents other influencing factors of the economic cost deviation coefficient. 7. According to the BIM-based building intelligent management system of claim 1, it is characterized in that: the specific calculation model of the building construction comprehensive abnormality index is as follows: Among them, CAI represents the comprehensive abnormality index of building construction, EQC represents the environmental quality assessment coefficient of building construction, PDC represents the progress deviation coefficient of building construction, QEC represents the quality evaluation coefficient of building construction, CDC represents the economic cost deviation coefficient of building construction, and k1, k2, k3, and k4 are respectively represented as constants. 8. According to the BIM-based building intelligent management system described in claim 1, it is characterized in that: the comprehensive abnormality index threshold is expressed as Δψ. When CAI>Δψ, it means that the comprehensive abnormality index of building construction is greater than the comprehensive abnormality index, indicating that there is no abnormality in the construction process of the building, and the collection and analysis of the building construction site data is maintained; when CAI<Δψ, it means that the comprehensive abnormality index of building construction is less than the comprehensive abnormality index, indicating that there is an abnormality in the construction process of the building, and an analysis report is generated for the data of the building construction site and an early warning signal is issued.