CN117610261B - Demolition engineering pollution prediction and optimization system based on BIM - Google Patents

Demolition engineering pollution prediction and optimization system based on BIM Download PDF

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CN117610261B
CN117610261B CN202311571938.4A CN202311571938A CN117610261B CN 117610261 B CN117610261 B CN 117610261B CN 202311571938 A CN202311571938 A CN 202311571938A CN 117610261 B CN117610261 B CN 117610261B
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刘瀚元
曹轲
刘书林
王春花
秦易松
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Chongqing University
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Abstract

The invention discloses a dismantling engineering pollution prediction and optimization system based on BIM, which comprises a BIM model construction module, a dismantling process simulation module, a GIS system module, an oblique photography module, a dust model construction module and a noise prediction construction module, and relates to the technical field of dismantling engineering pollution prediction and optimization. The invention carries out information modeling on a building by using BIM, builds a digital model of pollution diffusion by using a computer numerical simulation technology, and carries out pollution simulation evaluation report based on the digital model, carries out optimization on a construction scheme and carries out construction scheme optimization report by adopting an optimization scheme principle, thereby ensuring that dust generated by building demolition and blasting engineering does not influence life health of site constructors and residents in surrounding areas, maximally reducing air quality pollution in the whole area, and secondly ensuring that life quality of the surrounding residents and physical and mental health of the site constructors are not influenced by the construction demolition and the blasting engineering.

Description

Demolition engineering pollution prediction and optimization system based on BIM
Technical Field
The invention relates to the technical field of demolition engineering pollution prediction and optimization, in particular to a demolition engineering pollution prediction and optimization system based on BIM.
Background
At present, china is in a rapid development stage of urban level, and the urban updating speed is continuously increased, so that the urban building construction is inevitably accompanied by construction and dismantling. Demolition of large-scale structures is an integral part of newcastle construction and old urban reconstruction, with the most common demolition method being blast demolition.
The prior art has the following defects:
1. In urban demolition blasting engineering, a large amount of dust is generated at the moment of blasting, dust pollution generated in the construction process becomes a main source of atmospheric pollution, and the dust pollution has strong diffusivity, so that not only can the life health of site constructors be influenced, but also residents in surrounding areas can be influenced, the air quality of the whole area is reduced, and the economic development is restricted;
2. With the continuous progress of construction technology, mechanical equipment is mainly used for operation in the current building construction, however, in construction links such as earth blasting, pile foundation damage and the like, the mechanical equipment can generate serious noise problems, the life quality of surrounding residents is affected, meanwhile, the on-site constructors are injured, and secondly, during actual construction operation, a plurality of enterprises do not wish to improve the technology and the management cost, the on-site constructors are not professional, no reasonable noise prevention measures are adopted, the construction site management is disordered, the mechanical operation sound is overlarge, and sound insulation facilities are not provided, so that the normal life of the surrounding residents is seriously affected.
The above information disclosed in the background section is only for enhancement of understanding of the background of the disclosure and therefore it may include information that does not form the prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
The invention aims to provide a demolition engineering pollution prediction and optimization system based on BIM, which is used for modeling information of a building by using BIM, constructing a pollution diffusion digital model by using a computer numerical simulation technology, making a pollution simulation evaluation report based on the model, analyzing factors, optimizing a construction scheme by adopting an optimization scheme principle and making a construction scheme optimization report, ensuring that dust generated in demolition and blasting of the building does not influence life health of field constructors and residents in surrounding areas, maximally reducing air quality pollution in the whole area, and secondly ensuring that life quality of the surrounding residents and physical and mental health of the field constructors are not influenced due to demolition and blasting of the building, so as to solve the problems in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: the BIM-based engineering pollution removal prediction and optimization system comprises a BIM model construction module, a removal process simulation module, a GIS system module, an oblique photography module, a dust model construction module and a noise prediction construction module;
the BIM model building module comprises a three-dimensional BIM model of building and structure detailed information;
the dismantling process simulation module simulates different dismantling processes by using a BIM model, and considers dust and noise generated when different dismantling tools and methods are used;
the GIS system module is used for analyzing the geographic data, integrating the real-time environment monitoring data and carrying out decision support;
The oblique photographing module acquires high-resolution images through an oblique camera angle, compares oblique photographing images at different times and detects the change of the appearance of a building;
the dust model construction module is used for simulating the propagation path of dust particles in the air generated in the dismantling process so as to determine the affected area and predict the dust concentration of different areas;
And the noise prediction construction module simulates and predicts noise propagation conditions generated in the dismantling process through a mathematical model.
Preferably, the GIS system analyzes the geographic data, integrates the real-time environment monitoring data and provides decision support, and comprises the following specific steps:
A100, analyzing geographic data;
A200, integrating real-time environment monitoring data;
a300, evaluating environmental impact;
a400, decision support.
Preferably, the process of geographic data analysis is as follows:
A101, analyzing the building data extracted from the BIM by using a GIS system;
a102, land utilization analysis is carried out by utilizing a GIS, and the purpose planning of the area where the demolition project is located is known;
a103, analyzing the environmental characteristics of the geographic area;
The process of integrating the real-time environment monitoring data is as follows:
A201, acquiring real-time data from various environment monitoring devices and sensors;
A202, processing real-time environment monitoring data acquired from different data sources;
A203, associating the real-time monitoring data with the geographic position;
the process of environmental impact assessment is as follows:
A301, performing spatial analysis by using a GIS system, and simulating a propagation path of pollutants in the dismantling process;
a302, carrying out space analysis on real-time monitoring data in the GIS to identify the polluted area, and more accurately positioning the problem area by combining the geographical position data.
The decision support process is as follows:
a401, creating different scenes by using a GIS system, and simulating different dismantling modes and measures;
A402, displaying simulation results and real-time monitoring data in a graph or chart mode by utilizing geographic information visualization capability of the GIS;
A403, providing optimization suggestions for a decision maker based on a spatial analysis and a visual result provided by the GIS system;
And A404, integrating the integrated geographic data, simulation results, real-time monitoring data and optimization suggestions into a GIS system, and providing a comprehensive decision support system for a decision maker.
Preferably, the oblique photography module obtains high-resolution images through oblique camera angles, and is further used for image comparison at different time points so as to detect changes of the appearance of the building, and the following steps are specific in the process:
b101, in the demolition engineering area, the camera is arranged to be installed on the aircraft at an inclined angle so as to obtain a plurality of view angles of the appearance of the building;
b102, performing planning photographic tasks at different time points to ensure that high-resolution images of the appearance of the building are captured at different stages;
b103, at the planned time point, using an oblique camera to acquire data;
B104, preprocessing the acquired oblique photographic image;
B105, comparing the oblique photographic images at different time points, aligning the oblique photographic images through an image registration technology, and detecting the change of the appearance of the building through image processing and a computer vision algorithm;
b106, analyzing the detected building appearance change, and comparing the result with a building information model in the BIM system;
B107, the analysis result is visually presented.
Preferably, the specific steps of constructing the dust model are as follows:
S101, selecting a numerical calculation method, and adopting an Eulerian model or a Lagrangian model;
S102, extracting key data information of buildings and structures from BIM;
s103, importing the exported BIM data into MATLAB, and performing data preprocessing;
s104, constructing a numerical model in MATLAB;
s105, simulating the movement of dust particles in the air in the dismantling process by a numerical calculation method;
s106, simulating a release process of a dust source in the dismantling engineering;
s107, considering meteorological conditions, and simulating the flow of air;
s108, outputting a numerical simulation result as a data file, and visualizing by using MATLAB;
s109, verifying the model by using actual monitoring data;
and S110, based on the simulation result and the verification data, an optimization suggestion is provided.
Preferably, the specific step of noise prediction by the k- ε model is divided into the following phases:
S201, modeling a demolition project before model construction;
S202, describing the intensity of turbulence and the condition of energy dissipation by adopting a k-epsilon model according to the following formula:
This formula is the turbulent kinetic energy equation (k equation), where ρ is the air density, k is the turbulent kinetic energy, u j is the velocity component, μ is the dynamic viscosity, μ t is the turbulent viscosity, σ k is the Prandtl number of the turbulent kinetic energy, P k is the generation term of the turbulent kinetic energy, ε is the turbulent dissipation ratio,
This formula is the turbulent dissipation ratio equation (ε equation), where ε is the turbulent dissipation ratio, μ t is the turbulent viscosity, σ ε is the Prandtl number for the turbulent dissipation ratio, and C ε1 and C ε2 are model constants.
S203, setting boundary conditions in the model;
s204, solving the turbulence model by adopting a numerical method;
s205, calculating a noise source item by simulating relevant vibration information in the dismantling process;
S206, combining simulation results, and calculating the propagation condition of noise in the environment by using an acoustic propagation model.
And S207, finally, the model output comprises noise information.
In the technical scheme, the invention has the technical effects and advantages that:
The invention carries out information modeling on a building by using BIM, builds a digital model of pollution diffusion by using a computer numerical simulation technology, and takes the digital model as a basis to make a pollution simulation evaluation report, carries out factor analysis, adopts an optimization scheme principle to optimize a construction scheme and make a construction scheme optimization report, ensures that dust generated by building demolition and blasting engineering does not influence the life health of site constructors and residents in surrounding areas, maximally reduces air quality pollution in the whole area, and secondly ensures that the life quality of the surrounding residents and the physical and mental health of the site constructors are not influenced by the construction demolition and the blasting engineering;
According to the invention, by combining the BIM, oblique photography technology and GIS system, more comprehensive and accurate spatial information including geometric shape, appearance, surrounding environment and geographic characteristics of a building can be obtained, real-time monitoring data are integrated with the BIM and GIS system, environmental parameters in the dismantling process can be monitored in real time, meanwhile, simulation and prediction are carried out through the BIM and GIS system, and the influence of the dismantling engineering on the environment including the propagation path and degree of dust and noise pollution can be more comprehensively estimated by combining the technologies.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings for those skilled in the art.
FIG. 1 is a schematic block diagram of a BIM-based demolition engineering pollution prediction and optimization system of the present invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.
The invention provides a BIM-based dismantling engineering pollution prediction and optimization system as shown in fig. 1, which comprises a BIM model construction module, a dismantling process simulation module, a GIS system module, an oblique photography module, a dust model construction module and a noise prediction construction module;
the BIM model building module comprises a three-dimensional BIM model of building and structure detailed information;
This includes data on building materials, structures, equipment, etc., and information related to the demolition process, the model includes not only the geometry of the building, but also the properties of the building materials, the details of the structure, the location of the equipment, etc.;
the dismantling process simulation module simulates different dismantling processes by using a BIM model, and considers dust and noise generated when different dismantling tools and methods are used;
this can evaluate the situation of noise generation by simulating vibration, impact sound, material breakage, or the like of the demolition machine;
the GIS system module is used for analyzing the geographic data, integrating the real-time environment monitoring data and carrying out decision support;
the GIS system analyzes the geographic data, integrates the real-time environment monitoring data and provides decision support, and comprises the following specific steps:
A100, analyzing geographic data;
The process of geographic data analysis is as follows:
A101, analyzing the building data extracted from the BIM by using a GIS system;
this includes location, height, shape, etc. to understand the geometry of the building.
A102, land utilization analysis is carried out by utilizing a GIS, and the purpose planning of the area where the demolition project is located is known;
This process is to determine the type of usage that may be affected.
A103, analyzing the environmental characteristics of the geographic area;
Such as terrain, water distribution, etc., to account for the effects of natural factors on pollution spread and noise propagation.
A200, integrating real-time environment monitoring data;
The process of integrating the real-time environment monitoring data is as follows:
A201, acquiring real-time data from various environment monitoring devices and sensors;
such as air quality monitoring instruments, noise sensors, etc.
A202, processing real-time environment monitoring data acquired from different data sources;
This process is to ensure consistency and accuracy of the data, which may involve data cleansing, format conversion, and the like.
A203, associating the real-time monitoring data with the geographic position;
this process ensures spatial accuracy of the data so that the monitored data can be accurately projected onto the map in the GIS system.
A300, evaluating environmental impact;
the process of environmental impact assessment is as follows:
A301, performing spatial analysis by using a GIS system, and simulating a propagation path of pollutants in the dismantling process;
This may be achieved by techniques such as creating buffers, interpolation, etc.
A302, carrying out space analysis on real-time monitoring data in the GIS to identify the polluted area, and more accurately positioning the problem area by combining the geographical position data.
A400, decision support;
the decision support process is as follows:
a401, creating different scenes by using a GIS system, and simulating different dismantling modes and measures;
This may be achieved by overlaying different layers, adjusting parameters, etc.
A402, displaying simulation results and real-time monitoring data in a graph or chart mode by utilizing geographic information visualization capability of the GIS;
this helps the decision maker to more intuitively understand the environmental impact.
A403, providing optimization suggestions for a decision maker based on a spatial analysis and a visual result provided by the GIS system;
Such as adjusting the removal schedule, changing the manner of operation, or taking environmental protection measures.
And A404, integrating the integrated geographic data, simulation results, real-time monitoring data and optimization suggestions into a GIS system, and providing a comprehensive decision support system for a decision maker.
The GIS system can analyze geographic data, including buildings, land utilization, environmental characteristics and the like, which is important for knowing the distribution and propagation paths of pollutants in a geographic space, can integrate real-time environmental monitoring data, including air quality, noise level and the like, so as to provide real-time prediction and optimization of a more comprehensive environmental data support model, can carry out decision support based on geographic information provided by the GIS system, and helps project management personnel to better understand the influence of a dismantling process on the surrounding environment and take corresponding optimization measures;
The oblique photographing module acquires high-resolution images through an oblique camera angle, compares oblique photographing images at different times and detects the change of the appearance of a building;
The oblique photographing module obtains high-resolution images through oblique camera angles, and is further used for comparing the images at different time points so as to detect the change of the appearance of the building, and the following steps are specific to the process:
b101, in the demolition engineering area, the camera is arranged to be inclined and installed on an aircraft (such as airship and unmanned plane) so as to obtain a plurality of view angles of the appearance of the building;
the angle of inclination helps to improve the resolution of the image, especially the facade and construction details of the building.
B102, performing planning photographic tasks at different time points to ensure that high-resolution images of the appearance of the building are captured at different stages;
This may require consideration of the progress of the project, weather conditions, etc., to ensure that comprehensive and accurate image data is obtained.
B103, at the planned time point, using an oblique camera to acquire data;
this may include flying an aircraft over an engineering area, capturing oblique photographic images of the entire area with a high resolution camera.
B104, preprocessing the acquired oblique photographic image;
This includes image correction, de-distortion, color correction, etc., which ensures accuracy and consistency of the image.
B105, comparing the oblique photographic images at different time points, aligning the oblique photographic images through an image registration technology, and detecting the change of the appearance of the building through image processing and a computer vision algorithm;
This may include demolition of buildings, structural changes, etc.
B106, analyzing the detected building appearance change, and comparing the result with a building information model in the BIM system;
this helps to understand the differences between the actual progress of the demolition project and the plan and provides accurate inputs for subsequent pollution prediction and optimization.
B107, visually presenting the analysis result;
the changing building appearance may be presented through the interface of the BIM system or other graphical interface to help project management personnel to better understand the status of the project.
The oblique photography technology obtains high-resolution images through oblique camera angles, can provide detailed building appearance information including the appearance, structure and surrounding environment of a building, can detect changes in the appearance of the building by comparing oblique photographic images at different times, including the dismantling progress and changes of the building in a dismantling project, and can be used for updating or supplementing a BIM model to enable the BIM model to be more accurate, which is helpful for improving the spatial modeling of the system on the building and the dismantling process.
By combining the BIM, the oblique photography technology and the GIS system, more comprehensive and accurate space information comprising the geometric shape, the appearance, the surrounding environment and the geographic characteristics of a building can be obtained, real-time monitoring data are integrated with the BIM and the GIS system, environmental parameters in the dismantling process can be monitored in real time, meanwhile, simulation and prediction are carried out through the BIM and the GIS system, and the influence of the dismantling engineering on the environment, including the propagation path and the degree of dust and noise pollution, can be more comprehensively estimated by combining the technologies.
The dust model construction module is used for simulating the propagation path of dust particles in the air generated in the dismantling process so as to determine the affected area and predict the dust concentration of different areas;
The dust model construction module plays a key role in a BIM-based dismantling engineering pollution prediction and optimization system, helps simulate and predict dust diffusion conditions generated in a dismantling process, is used for simulating a propagation path of dust particles generated in the dismantling process in air to determine a possibly affected area, can predict dust concentrations of different areas through simulation, is beneficial to evaluating potential environmental influences and taking corresponding control measures, and needs to consider environmental factors such as wind speed, wind direction, humidity and the like so as to more truly simulate the dust diffusion process;
The construction of the dust model comprises the following specific steps:
S101, selecting a numerical calculation method, and adopting an Eulerian model or a Lagrangian model;
the Eulerian model is more suitable for simulating the concentration distribution of particulate matter in air, while the Lagrangian model is more suitable for tracking the movement trace of particulate matter.
S102, extracting key data information of buildings and structures from BIM;
the key data information comprises key data such as geometric information, building material attributes, dismantling machinery positions and the like, and related data files can be exported through BIM software so as to be imported into MATLAB for processing.
S103, importing the exported BIM data into MATLAB, and performing data preprocessing;
This may include cleaning, formatting, interpolating, etc. the data to ensure accuracy and consistency of the data.
S104, constructing a numerical model in MATLAB;
This includes definition of dust source, setting of meteorological conditions such as wind speed and wind direction, and initialization of numerical calculation model.
S105, simulating the movement of dust particles in the air in the dismantling process by a numerical calculation method;
This includes the process of calculating the diffusion of particulate matter in the air, deposition and the effect of wind on the movement of particulate matter.
S106, simulating a release process of a dust source in the dismantling engineering;
this involves defining parameters such as the amount, speed and height of particulate matter released.
S107, considering meteorological conditions, and simulating the flow of air;
Meteorological conditions include wind speed, wind direction and the like, and the process is used for accurately simulating the movement track of dust particles in the air.
S108, outputting a numerical simulation result as a data file, and visualizing by using MATLAB;
This may include generating dust concentration profiles, particle motion profiles, etc. to more intuitively understand the spatial movement laws of the dust.
S109, verifying the model by using actual monitoring data;
and comparing the simulation result with the actually measured data, and adjusting the model parameters to improve the accuracy of the model.
S110, based on simulation results and verification data, an optimization suggestion is provided;
For example, the operation mode in the construction process is adjusted, a more environment-friendly dismantling method is adopted, a wind shielding wall is arranged, and the like, so that the influence of dust raise dust on the surrounding environment is reduced;
The noise prediction construction module simulates and predicts noise propagation conditions generated in the dismantling process through a mathematical model;
the specific steps of noise prediction through the k-epsilon model are divided into the following stages:
S201, modeling a demolition project before model construction;
this includes the input of information on building structure, equipment, progress of the project, etc., and furthermore, environmental parameters such as weather, topography, etc. need to be taken into account.
S202, describing the intensity of turbulence and the condition of energy dissipation by adopting a k-epsilon model according to the following formula:
This formula is the turbulent kinetic energy equation (k equation), where ρ is the air density, k is the turbulent kinetic energy, u j is the velocity component, μ is the dynamic viscosity, μ t is the turbulent viscosity, σ k is the Prandtl number of the turbulent kinetic energy, P k is the generation term of the turbulent kinetic energy, ε is the turbulent dissipation ratio,
This formula is the turbulent dissipation ratio equation (ε equation), where ε is the turbulent dissipation ratio, μ t is the turbulent viscosity, σ k is the Prandtl number for the turbulent dissipation ratio, and C ε1 and C ε2 are model constants.
S203, setting boundary conditions in the model;
this includes fluid inlet and outlet conditions, solid surface conditions, etc., which are critical to the accuracy of the simulation.
S204, solving the turbulence model by adopting a numerical method;
The turbulence model is solved by finite element Method (FINITE ELEMENT Method) or finite volume Method (Finite Volume Method), which involves dividing the modeled region into grids and solving the turbulence equation on each grid.
S205, calculating a noise source item by simulating relevant vibration information in the dismantling process;
The relevant vibration information includes mechanical vibrations, device operation, etc., by means of which noise source terms are calculated, which source terms are coupled to the turbulence model, influencing the generation of noise.
S206, combining the simulation results, and calculating the propagation condition of noise in the environment by using an acoustic propagation model (such as an outdoor acoustic model).
S206, finally, the model output comprises noise information;
the noise information comprises a noise distribution diagram, sound levels in the horizontal and vertical directions and the like, and through the information, the optimal design can be carried out, so that the influence of noise on the surrounding environment is reduced;
The invention carries out information modeling on a building by using BIM, builds a digital model of pollution diffusion by using a computer numerical simulation technology, and takes the digital model as a basis to make a pollution simulation evaluation report, carries out factor analysis, adopts an optimization scheme principle to optimize a construction scheme and make a construction scheme optimization report, ensures that dust generated by building demolition and blasting engineering does not influence the life health of site constructors and residents in surrounding areas, maximally reduces air quality pollution in the whole area, and secondly ensures that the life quality of the surrounding residents and the physical and mental health of the site constructors are not influenced by the construction demolition and the blasting engineering;
According to the invention, by combining the BIM, oblique photography technology and GIS system, more comprehensive and accurate spatial information including geometric shape, appearance, surrounding environment and geographic characteristics of a building can be obtained, real-time monitoring data are integrated with the BIM and GIS system, environmental parameters in the dismantling process can be monitored in real time, meanwhile, simulation and prediction are carried out through the BIM and GIS system, and the influence of the dismantling engineering on the environment including the propagation path and degree of dust and noise pollution can be more comprehensively estimated by combining the technologies.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired or wireless means (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
It should be understood that the term "and/or" is merely an association relationship describing the associated object, and means that three relationships may exist, for example, a and/or B may mean: there are three cases, a alone, a and B together, and B alone, wherein a, B may be singular or plural. In addition, the character "/" herein generally indicates that the associated object is an "or" relationship, but may also indicate an "and/or" relationship, and may be understood by referring to the context.
In the present application, "at least one" means one or more, and "a plurality" means two or more. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided by the present application, it should be understood that the disclosed systems and methods may be implemented in other ways. For example, the embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical functional division, and there may be additional divisions in actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (2)

1. The BIM-based dismantling engineering pollution prediction and optimization system is characterized by comprising a BIM model construction module, a dismantling process simulation module, a GIS system module, an oblique photography module, a dust model construction module and a noise prediction construction module;
the BIM model building module comprises a three-dimensional BIM model of building and structure detailed information;
the dismantling process simulation module simulates different dismantling processes by using a BIM model, and considers dust and noise generated when different dismantling tools and methods are used;
the GIS system module is used for analyzing the geographic data, integrating the real-time environment monitoring data and carrying out decision support;
the GIS system analyzes the geographic data, integrates the real-time environment monitoring data and provides decision support, and comprises the following specific steps:
A100, analyzing geographic data;
A200, integrating real-time environment monitoring data;
a300, evaluating environmental impact;
A400, decision support;
The process of geographic data analysis is as follows:
A101, analyzing the building data extracted from the BIM by using a GIS system;
a102, land utilization analysis is carried out by utilizing a GIS, and the purpose planning of the area where the demolition project is located is known;
a103, analyzing the environmental characteristics of the geographic area;
The process of integrating the real-time environment monitoring data is as follows:
A201, acquiring real-time data from various environment monitoring devices and sensors;
A202, processing real-time environment monitoring data acquired from different data sources;
A203, associating the real-time monitoring data with the geographic position;
the process of environmental impact assessment is as follows:
A301, performing spatial analysis by using a GIS system, and simulating a propagation path of pollutants in the dismantling process;
a302, performing space analysis of real-time monitoring data in a GIS to identify a polluted area, and more accurately positioning a problem area by combining geographic position data;
the decision support process is as follows:
a401, creating different scenes by using a GIS system, and simulating different dismantling modes and measures;
A402, displaying simulation results and real-time monitoring data in a graph or chart mode by utilizing geographic information visualization capability of the GIS;
A403, providing optimization suggestions for a decision maker based on a spatial analysis and a visual result provided by the GIS system;
a404, integrating the integrated geographic data, simulation results, real-time monitoring data and optimization suggestions into a GIS system, and providing a comprehensive decision support system for a decision maker;
The oblique photographing module acquires high-resolution images through an oblique camera angle, compares oblique photographing images at different times and detects the change of the appearance of a building;
the dust model construction module is used for simulating the propagation path of dust particles in the air generated in the dismantling process so as to determine the affected area and predict the dust concentration of different areas;
The construction of the dust model comprises the following specific steps:
S101, selecting a numerical calculation method, and adopting an Eulerian model or a Lagrangian model;
S102, extracting key data information of buildings and structures from BIM;
s103, importing the exported BIM data into MATLAB, and performing data preprocessing;
s104, constructing a numerical model in MATLAB;
s105, simulating the movement of dust particles in the air in the dismantling process by a numerical calculation method;
s106, simulating a release process of a dust source in the dismantling engineering;
s107, considering meteorological conditions, and simulating the flow of air;
s108, outputting a numerical simulation result as a data file, and visualizing by using MATLAB;
s109, verifying the model by using actual monitoring data;
S110, based on simulation results and verification data, an optimization suggestion is provided;
The noise prediction construction module simulates and predicts noise propagation conditions generated in the dismantling process through a mathematical model;
the specific steps of noise prediction through the k-epsilon model are divided into the following stages:
S201, modeling a demolition project before model construction;
S202, describing the intensity of turbulence and the condition of energy dissipation by adopting a k-epsilon model according to the following formula: the formula is a turbulent kinetic energy formula, wherein/> Is air density, k is turbulent kinetic energy,/>Is the velocity component,/>Is dynamic viscosity,/>Is turbulent viscosity,/>Prandtl number, which is the turbulent kinetic energy,/>Is the generation term of turbulent kinetic energy,/>Is the rate of dissipation of the turbulent flow,This formula is a turbulent dissipation ratio equation, where/>Is the turbulent dissipation ratio,/>Is turbulent viscosity,/>Is Prandtl number of turbulent dissipation ratio,/>Is a model constant;
S203, setting boundary conditions in the model;
s204, solving the turbulence model by adopting a numerical method;
s205, calculating a noise source item by simulating relevant vibration information in the dismantling process;
s206, combining simulation results, and calculating the propagation condition of noise in the environment by using an acoustic propagation model;
And S206, finally, the model output comprises noise information.
2. The BIM-based demolition engineering pollution prediction and optimization system according to claim 1, wherein the oblique photography module obtains high resolution images through oblique camera angles, and is further used for image comparison at different time points to detect changes in the appearance of the building, and the following steps are specific to the process:
b101, in the demolition engineering area, the camera is arranged to be installed on the aircraft at an inclined angle so as to obtain a plurality of view angles of the appearance of the building;
b102, performing planning photographic tasks at different time points to ensure that high-resolution images of the appearance of the building are captured at different stages;
b103, at the planned time point, using an oblique camera to acquire data;
B104, preprocessing the acquired oblique photographic image;
B105, comparing the oblique photographic images at different time points, aligning the oblique photographic images through an image registration technology, and detecting the change of the appearance of the building through image processing and a computer vision algorithm;
b106, analyzing the detected building appearance change, and comparing the result with a building information model in the BIM system;
B107, the analysis result is visually presented.
CN202311571938.4A 2023-11-23 2023-11-23 Demolition engineering pollution prediction and optimization system based on BIM Active CN117610261B (en)

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