Treatment system and method for complex source construction environment pollutants

Abstract

The invention discloses a treatment system and method for complex source construction environmental pollutants, and the system comprises a data analysis system which is used for analyzing and processing collected environmental data; the ground monitoring system is in communication connection with the data analysis system and is used for collecting environment data; the unmanned aerial vehicle monitoring system is in communication connection with the data analysis system and is used for collecting environmental data and accurately identifying pollutant sources; and the visual man-machine part is in communication connection with the data analysis system and is used for displaying the environment data information in real time. According to the treatment system and method for complex source construction environment pollutants, the problems that in the prior art, environment pollution monitoring space coverage is insufficient, and source positioning is not accurate are solved, an innovative solution is provided for high-pollution construction environment monitoring and pollutant control, and the treatment system and method have the advantages of being high in practicability and wide in application range. And green, environment-friendly and sustainable development of construction can be realized.

Description

Technical Field

[0001] The present invention relates to the field of environmental monitoring, and in particular to a system and method for treating pollutants in a complex source construction environment. Background Art

[0002] With the acceleration of urbanization, complex construction environments are increasing, and environmental pollution problems are becoming more serious. Traditional construction environment monitoring methods often have problems such as insufficient monitoring space coverage and inaccurate source positioning, making it difficult to effectively control environmental pollution.

[0003] In order to solve this problem, some environmental monitoring systems have appeared on the market, but most of these systems have defects such as limited monitoring range, low data accuracy, and imperfect early warning mechanism. Especially in construction environments with complex terrain and many obstacles, traditional monitoring methods often find it difficult to accurately track the diffusion path of pollutants, resulting in a lack of pertinence and effectiveness of control measures.

[0004] In addition, there are many types of pollutants in the construction environment. Different pollutants have different physical, chemical and biological properties, and their impacts on the environment and human body are also different. Therefore, it is crucial to develop a scientific and reasonable theory of pollutant severity classification to achieve precise governance. However, most of the existing classification methods are based on empirical formulas or fixed values, which cannot accurately reflect the actual situation, resulting in inaccurate classification results and difficulty in achieving the expected results of governance measures.

[0005] Therefore, developing a three-dimensional full-coverage monitoring system and equipping it with corresponding hierarchical joint control measures has become the key to solving the problem of complex source construction environmental pollution. The system needs to achieve air-ground coordinated monitoring to improve monitoring accuracy and coverage; at the same time, it is also necessary to optimize the diffusion algorithm and formulate a scientific and reasonable classification theory to achieve accurate positioning and hierarchical management of pollutants. In addition, designing a visual early warning dust reduction classification human-machine interface to facilitate user query, analysis and control is also an important means to improve management efficiency. Summary of the invention

[0006] The main purpose of the present invention is to provide a system and method for treating pollutants in complex source construction environments, which overcomes the above technical problems.

[0007] In order to achieve the above object, the present invention proposes the following technical solutions: A system and method for treating pollutants in complex construction environments, comprising: Data analysis system, used to analyze and process the collected environmental data; A ground monitoring system, which is in communication with the data analysis system and is used to collect environmental data; A drone monitoring system that communicates with a data analysis system to collect environmental data and accurately identify the source of pollutants; The visual human-machine part is connected to the data analysis system for real-time display of environmental data information.

[0008] Furthermore, the ground monitoring system includes multiple monitoring poles and at least one automated unmanned inspection vehicle. The monitoring poles are equipped with high-precision environmental monitoring sensors for collecting environmental data from fixed points of high pollution sources. The automated unmanned inspection vehicle is equipped with high-precision environmental monitoring sensors for mobile full-range data collection in the construction process and surrounding areas.

[0009] Furthermore, the monitoring poles, automated unmanned inspection vehicles and drone monitoring systems are all equipped with: Positioning module, used to determine the location of the monitoring point; Temperature and humidity sensor module, used to collect air temperature data and air humidity data at monitoring points; Power supply module, providing power for monitoring equipment; A wireless communication module for communicating data with a data analysis system; PM sensor module, used to collect particulate matter content at monitoring points; The noise sensor module is used to collect noise data at monitoring points.

[0010] Furthermore, the data analysis system uses the Euler method to divide the space into grids and simulates the diffusion process by calculating the change in dust concentration at each grid point.

[0011] Furthermore, the visual human-computer part also includes an interactive function, and users can query, analyze and control environmental data through the visual human-computer part.

[0012] Furthermore, the specific construction method is as follows: S1, collects data through ground monitoring system and human-machine monitoring system; S2, transfers the collected data to the database in the data analysis system; S3, analyzes the diffusion process and pollution classification based on the data in the database, formulates dust reduction measures for different pollution levels, and transmits the collected data and analysis results to the visualization human-computer part for display; S4, set thresholds for different pollution levels, and issue a warning message when the pollution exceeds the set threshold.

[0013] Furthermore, the analysis of the diffusion process includes simulating the diffusion process by using a dust diffusion boundary algorithm without time and space constraints, and improving the accuracy of the simulation results by adding dust physical property parameters and improving the diffusion coefficient.

[0014] Furthermore, the dust diffusion boundary algorithm without time and space constraints includes the following steps: Step 1: Initialization: setting initial conditions, including but not limited to initial dust concentration distribution, wind direction, and wind speed; Step 2: Time step calculation: determine the appropriate time step △t according to the stability requirements of the diffusion equation; Step 3: discretize the dust diffusion equation C(i, j), where i and j are the indices of the grid points in the x and y directions; Step 4: concentration update: according to the diffusion equation, calculate the change of dust concentration at each grid point in the current time step; Step 5: Boundary condition processing: determine the boundary conditions of the study area according to the actual situation, including but not limited to fixed concentration boundary and reflection boundary; Step 6, determine whether the predetermined simulation time is reached or other stopping conditions are met. If so, end the algorithm simulation; if not, set i=i+1, j=j+1, and repeat steps 2 to 6.

[0015] Furthermore, pollution classification collects data on the physical, chemical and biological properties of various pollutants, comprehensively considers multiple indicators in the construction environment, obtains a comprehensive indicator as the basis for classification through weighted summation or comprehensive evaluation, and establishes a calculation formula for the comprehensive indicator.

[0016] Furthermore, when performing weighted summation or comprehensive evaluation, the methods used include but are not limited to the analytic hierarchy process (AHP) and expert consultation method.

[0017] The system and method for treating pollutants in complex source construction environments of the present invention solve the problems of insufficient spatial coverage and inaccurate source positioning of environmental pollution monitoring in the prior art. The present invention provides an innovative solution for high-pollution construction environment monitoring and pollutant control, which helps to achieve green, environmentally friendly and sustainable development of construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings constituting a part of the present application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 The overall structure diagram of a system and method for treating pollutants in a complex source construction environment according to the present invention is shown; Figure 2 A schematic diagram of the steps of the dust diffusion boundary algorithm without time and space restrictions in the present invention is shown.

[0019] The above drawings include the following reference numerals: 1. Data analysis system; 2. Ground monitoring system; 3. UAV monitoring system; 4. Visual human-machine system; 21. Monitoring pole; 22. Automated unmanned inspection vehicle. DETAILED DESCRIPTION

[0020] 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, rather than all the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present invention and its application or use. 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.

[0021] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0022] Unless otherwise specifically stated, the relative arrangement of the parts and steps described in these embodiments, numerical expressions and numerical values ​​do not limit the scope of the present invention. At the same time, it should be understood that, for ease of description, the sizes of the various parts shown in the accompanying drawings are not drawn according to the actual proportional relationship. The technology, method and equipment known to ordinary technicians in the relevant field may not be discussed in detail, but in appropriate cases, the technology, method and equipment should be regarded as a part of the authorization specification. In all examples shown and discussed here, any specific value should be interpreted as being merely exemplary, rather than as a limitation. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once a certain item is defined in an accompanying drawing, it does not need to be further discussed in subsequent drawings.

[0023] Reference below Figure 1 to Figure 2 , the present invention is further described: A system and method for treating pollutants in complex construction environments, comprising: A data analysis system 1, used for analyzing and processing the collected environmental data; A ground monitoring system 2, which is in communication with the data analysis system 1 and is used to collect environmental data; The drone monitoring system 3 is connected to the data analysis system 1 for collecting environmental data and accurately identifying the source of pollutants; The visualization human-machine part 4 is connected to the data analysis system 1 for communicating and displaying environmental data information in real time.

[0024] In this application, the data analysis system 1, the ground monitoring system 2, the drone monitoring system 3, and the visual human-machine part 4 work together to have the following advantages: Comprehensive monitoring: Combine ground and air monitoring resources to achieve all-round, multi-level pollution source monitoring and improve data coverage and accuracy.

[0025] Intelligent analysis: The data analysis system can efficiently process large amounts of environmental data, quickly identify pollution sources, and provide a scientific basis for governance decisions.

[0026] Visual operation: The visual human-machine part makes the governance process more intuitive, making it easier for managers to monitor and adjust governance strategies in real time.

[0027] In this embodiment, the ground monitoring system 2 includes multiple monitoring poles 21 and at least one automated unmanned inspection vehicle 22. The monitoring poles 21 are equipped with high-precision environmental monitoring sensors for collecting environmental data at fixed points of high pollution sources. The automated unmanned inspection vehicle 22 is equipped with high-precision environmental monitoring sensors for mobile full-range data collection in the construction process and surrounding areas.

[0028] The ground monitoring system 2 in this solution realizes the combination of fixed and mobile. The combined use of the monitoring pole 21 and the automated unmanned inspection vehicle 22 not only covers fixed pollution sources, but also can flexibly respond to changes in the construction area to ensure that there are no blind spots in monitoring. It also realizes high-precision monitoring. By carrying high-precision sensors, it can accurately measure key indicators such as air temperature and humidity, particulate matter content, and noise, providing detailed data for pollution source identification. This solution also has a high degree of automation and intelligence. It realizes automated operation through the automated unmanned inspection vehicle 22, reduces labor costs, and improves monitoring efficiency and accuracy.

[0029] In this embodiment, the monitoring pole 21, the automated unmanned inspection vehicle 22 and the drone monitoring system 3 are all provided with: Positioning module, used to determine the location of the monitoring point; Temperature and humidity sensor module, used to collect air temperature data and air humidity data at monitoring points; Power supply module, providing power for monitoring equipment; A wireless communication module for performing data communication with the data analysis system 1; PM sensor module, used to collect particulate matter content at monitoring points; The noise sensor module is used to collect noise data at monitoring points.

[0030] High-altitude vision allows the drone monitoring system to cruise over a large area at high altitudes, quickly identify pollution sources, and improve the timeliness of governance decisions.

[0031] The built-in positioning module can accurately record the location of pollution sources, achieve precise positioning, and provide accurate guidance for subsequent control measures.

[0032] The integration of temperature and humidity sensors, PM sensing modules, and noise sensing modules enables drones to monitor multiple environmental indicators simultaneously, improving the comprehensiveness and practicality of data.

[0033] By setting up distributed fixed points and air-ground mobile sensing resources, an air-ground collaborative crowd-free sensing mode is formed to realize a space-time distributed environmental monitoring system. At the same time, the drone is equipped with an RTK module so that it can accurately identify the source of environmental pollutants and track their diffusion path through the diffusion boundary algorithm to achieve macro-level monitoring without space restrictions. On the ground, the environmental data of fixed points of high pollution sources are collected using monitoring poles equipped with high-precision environmental monitoring sensors, and the mobile full-range data collection is carried out at the construction site and surrounding areas using automated unmanned inspection vehicles equipped with high-precision environmental monitoring sensors. The collected environmental data information is transmitted to the developed and designed early warning dust reduction classification visual human-machine interface based on IoT, sensor technology, and wireless transmission technologies. The interface can display monitoring data, pollution level, early warning information and other contents in real time. A pollution severity classification theory is formulated to divide environmental pollution into different levels according to different pollutant concentrations, meteorological conditions and other factors. When the pollution reaches different levels, the corresponding early warning signal on the visual human-machine interface is triggered, and corresponding linkage control measures are taken to reduce the environmental pollution level by collaboratively increasing or decreasing the spray angle of the fog cannon and adjusting the construction process. The present invention provides an innovative solution for high-pollution construction environment monitoring and pollutant control, which helps to achieve green, environmentally friendly and sustainable development of construction.

[0034] In this embodiment, the data analysis system 1 divides the space into grids using the Euler method, and simulates the diffusion process by calculating the change in dust concentration at each grid point.

[0035] In this embodiment, the visualized human-machine part 4 also includes an interactive function, and the user can query, analyze and control the environmental data through the visualized human-machine part 4 .

[0036] Among them, the design of the visual human-machine part 4 is as follows: The monitoring pole 21, the automated unmanned inspection vehicle 22, and the drone monitoring system 3 together form a three-dimensional full-coverage monitoring system. The data collected by the three-dimensional full-coverage monitoring system is wirelessly transmitted to the database. The environmental data stored in the database is processed and analyzed using data mining, machine learning and other technologies, and useful information is extracted to analyze and predict the environmental data, providing a basis for early warning dust reduction classification. A visual human-computer interface is designed to display environmental data and early warning dust reduction classification information. Data visualization libraries such as Echarts and D3.js are used to achieve visual display of data. According to the analysis results of environmental data, early warning and dust reduction classification are carried out, different early warning levels and dust reduction measures are set, and when the environmental data exceeds the set threshold, an early warning message is issued and corresponding dust reduction measures are taken. The interactive function of the human-computer interface is designed so that users can query, analyze and control environmental data. Interactive elements such as buttons, drop-down menus, and input boxes can be used to achieve interaction between users and the system.

[0037] In this embodiment, the specific construction method is as follows: S1, collects data through ground monitoring system 2 and human-machine monitoring system 3; S2, transmitting the collected data to the database in the data analysis system 1; S3, analyze the diffusion process and classify the pollution according to the data in the database, formulate dust reduction measures for different pollution levels, and transmit the collected data and analysis results to the visualization human-machine part 4 for display; S4, set thresholds for different pollution levels, and issue a warning message when the pollution exceeds the set threshold.

[0038] In this embodiment, analyzing the diffusion process includes simulating the diffusion process by using a dust diffusion boundary algorithm without time and space constraints, and improving the accuracy of the simulation results by adding dust physical characteristic parameters and improving the diffusion coefficient.

[0039] In this embodiment, the dust diffusion boundary algorithm without time and space restrictions includes the following steps: Step 1: Initialization: setting initial conditions, including but not limited to initial dust concentration distribution, wind direction, and wind speed; Step 2: Time step calculation: determine the appropriate time step △t according to the stability requirements of the diffusion equation; Step 3: discretize the dust diffusion equation C(i, j), where i and j are the indices of the grid points in the x and y directions; Step 4: concentration update: according to the diffusion equation, calculate the change of dust concentration at each grid point in the current time step; Step 5: Boundary condition processing: determine the boundary conditions of the study area according to the actual situation, including but not limited to fixed concentration boundary and reflection boundary; Step 6, determine whether the predetermined simulation time is reached or other stopping conditions are met. If so, end the algorithm simulation; if not, set i=i+1, j=j+1, and repeat steps 2 to 6.

[0040] The dust diffusion boundary algorithm and optimization principle without time and space restrictions are as follows: A three-dimensional full-coverage monitoring system is used to collect monitoring data in the construction environment, and a dust diffusion equation is established. The Euler method is used to divide the space into grids, and the diffusion process is simulated by calculating the change in dust concentration at each grid point. In addition, when improving the traditional diffusion algorithm, the impact of complex terrain and obstacles on the wind field is considered, and the accuracy of the simulation is improved by adding dust physical characteristic parameters and improving the diffusion coefficient.

[0041] In a preferred embodiment, the algorithm model is: ; In a preferred embodiment, the discrete control equation is: ; Where: C represents dust concentration; t represents time; D represents the diffusion coefficient; represents the Laplace operator; S represents the source term of dust; n represents the index of the time step.

[0042] In a preferred embodiment, the following method is used for model optimization: A terrain correction factor is introduced into the algorithm to consider the impact of obstacles such as mountains and buildings on the wind field. Through terrain data and fluid dynamics models, the flow of wind in complex terrain is simulated to more accurately predict the diffusion path of pollutants under different terrain conditions. In addition, when encountering obstacles, the bypass model or the shielding effect model is used to correct the diffusion direction and speed of dust. Traditional diffusion coefficients usually use empirical formulas or fixed values, which cannot accurately reflect the actual situation. When optimizing traditional diffusion algorithms, calculation methods based on turbulence models such as the large eddy simulation (LES) of turbulence theory or the Reynolds-averaged Navier-Stokes (RANS) equations are used to dynamically calculate the diffusion coefficient in combination with real-time meteorological data and terrain conditions.

[0043] In this embodiment, pollution classification is carried out by collecting data on the physical, chemical and biological properties of various pollutants, comprehensively considering multiple indicators in the construction environment, performing weighted summation or comprehensive evaluation, obtaining a comprehensive indicator as the basis for classification, and establishing a calculation formula for the comprehensive indicator.

[0044] The theory of pollutant severity classification is as follows: Collect data on the physical, chemical and biological properties of various pollutants, comprehensively consider multiple indicators in the construction environment, obtain a comprehensive indicator as the basis for classification through weighted summation or comprehensive evaluation, and establish a calculation formula for the comprehensive indicator.

[0045] In a preferred embodiment, it is necessary to comprehensively consider the construction environment indicators, that is, comprehensively consider the characteristics of pollutants and other indicators in the construction environment, such as construction noise, construction dust, construction wastewater discharge, etc. Initially, it is also necessary to consider: safety indicators, including whether the safety protection measures of construction personnel are in place, safety hazards at the construction site, etc.; progress indicators, whether the construction progress is in line with the plan, whether there are delays, etc.; quality indicators, whether the project quality meets the standards, and whether there are quality problems. Then, Z-score standardization is used to standardize the different units and magnitudes of different indicators in the data.

[0046] In this embodiment, when performing weighted summation or comprehensive evaluation, the methods used include but are not limited to the analytic hierarchy process (AHP) and the expert consultation method.

[0047] The weighted summation and comprehensive evaluation methods are as follows: In a preferred embodiment, the weight of each indicator is determined by using the analytic hierarchy process (AHP), expert consultation method and other methods. The weight determination should take into account factors such as the importance of the indicator, the degree of impact on the environment and construction, etc. The comprehensive indicator calculation formula is: ; in: It represents a comprehensive indicator; Indicates various calculation indicators; represents the corresponding weight; n represents the number of indicators In a preferred embodiment, the classification method is optimized as follows: The results of pollutant severity classification can be visualized using a geographic information system (GIS). First, the classification results are stored as a new layer. Each monitoring point corresponds to a pollution severity level. The attribute table in the GIS software can be used to record the classification results. Then select appropriate map symbols and colors to represent different pollution severity levels. Different symbol sizes, color depths or patterns can be used to distinguish different levels. For example, red represents severe pollution, yellow represents moderate pollution, and green represents mild pollution. And make thematic maps. Use the mapping function of GIS software to make thematic maps of pollutant severity classification. You can add elements such as map titles, legends, scales, and compasses to make the map more complete and easy to read. Finally, the processing results are dynamically visualized. If there is a time series of pollutant data, a dynamic map can be made to show the changing trend of pollution severity. Use animation, time slider and other functions to achieve dynamic visualization. For areas with complex terrain, use three-dimensional GIS technology to superimpose the results of pollutant severity classification with the terrain to achieve three-dimensional visualization, so that you can more intuitively understand the spatial distribution of pollutants.

[0048] For ease of description, spatially relative terms such as "above", "above", "on the upper surface of", "above", etc. may be used here to describe the spatial positional relationship between a device or feature and other devices or features as shown in the figure. It should be understood that spatially relative terms are intended to include different orientations of the device in use or operation in addition to the orientation described in the figure. For example, if the device in the accompanying drawings is inverted, the device described as "above other devices or structures" or "above other devices or structures" will be positioned as "below other devices or structures" or "below other devices or structures". Thus, the exemplary term "above" can include both "above" and "below". The device can also be positioned in other different ways (rotated 90 degrees or in other orientations), and the spatially relative descriptions used here are interpreted accordingly.

[0049] In addition, it should be noted that the use of terms such as "first" and "second" to limit components is only for the convenience of distinguishing the corresponding components. If not otherwise stated, the above terms have no special meaning and therefore cannot be understood as limiting the scope of protection of the present invention.

[0050] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A system for treating pollutants in complex construction environments, characterized in that: include: A data analysis system (1), used for analyzing and processing the collected environmental data; A ground monitoring system (2) is connected to the data analysis system (1) for collecting environmental data; An unmanned aerial vehicle monitoring system (3) is connected to the data analysis system (1) for collecting environmental data and accurately identifying the source of pollutants; The visual human-machine part (4) is connected to the data analysis system (1) for real-time display of environmental data information.

2. A system for treating pollutants in complex source construction environments according to claim 1, characterized in that: The ground monitoring system (2) comprises a plurality of monitoring poles (21) and at least one automated unmanned inspection vehicle (22), wherein the monitoring poles (21) are equipped with high-precision environmental monitoring sensors for collecting environmental data at fixed points of high-pollution sources, and the automated unmanned inspection vehicle (22) is equipped with high-precision environmental monitoring sensors for mobile full-range data collection in the construction line and surrounding areas.

3. A system for treating pollutants in complex source construction environments according to claim 2, characterized in that: The monitoring pole (21), the automated unmanned inspection vehicle (22) and the unmanned aerial vehicle monitoring system (3) are all provided with: Positioning module, used to determine the location of the monitoring point; Temperature and humidity sensor module, used to collect air temperature data and air humidity data at monitoring points; Power supply module, providing power for monitoring equipment; A wireless communication module for performing data communication with the data analysis system (1); PM sensor module, used to collect particulate matter content at monitoring points; The noise sensor module is used to collect noise data at monitoring points.

4. A system for treating pollutants in complex source construction environments according to claim 1, characterized in that: The data analysis system (1) divides the space into grids using the Euler method, and simulates the diffusion process by calculating the change in dust concentration at each grid point.

5. The system for treating pollutants in complex source construction environment according to claim 1 is characterized in that: The visual human-machine part (4) also includes an interactive function, and a user can query, analyze and control environmental data through the visual human-machine part (4).

6. A method for treating pollutants in a complex source construction environment, comprising a system for treating pollutants in a complex source construction environment as described in any one of claims 1 to 5, wherein the specific construction steps are as follows: S1, collecting data through the ground monitoring system (2) and the human-machine monitoring system (3); S2, transmitting the collected data to a database in the data analysis system (1); S3, analyzing the diffusion process according to the data in the database to classify the pollution, formulate dust reduction measures for different pollution levels, and transmit the collected data and analysis results to the visualization human-machine part (4) for display; S4, set thresholds for different pollution levels, and issue a warning message when the pollution exceeds the set threshold.

7. A method for treating pollutants in complex source construction environment according to claim 6, characterized in that: The analytical diffusion process includes simulating the diffusion process by using a dust diffusion boundary algorithm without time and space restrictions, and improving the accuracy of the simulation results by adding dust physical characteristic parameters and improving the diffusion coefficient. The dust diffusion boundary algorithm model without time and space restrictions is: 。 8. A method for treating pollutants in complex source construction environment according to claim 7, characterized in that: The dust diffusion boundary algorithm without time and space restrictions includes the following steps: Step 1: Initialization: setting initial conditions, including but not limited to initial dust concentration distribution, wind direction, and wind speed; Step 2: Time step calculation: determine the appropriate time step △t according to the stability requirements of the diffusion equation; Step 3: Discretize the dust diffusion equation C(i, j), where i and j are the indexes of the grid points in the x and y directions. The discretized dust diffusion equation is: ； Where: C represents dust concentration; t represents time; D represents the diffusion coefficient; represents the Laplace operator; S represents the source term of dust; n represents the index of the time step; Step 4: concentration update: according to the diffusion equation, calculate the change of dust concentration at each grid point in the current time step; Step 5: Boundary condition processing: determine the boundary conditions of the study area according to the actual situation, including but not limited to fixed concentration boundary and reflection boundary; Step 6, determine whether the predetermined simulation time is reached or other stopping conditions are met. If so, end the algorithm simulation; if not, set i=i+1, j=j+1, and repeat steps 2 to 6.

9. A method for treating pollutants in complex source construction environment according to claim 6, characterized in that: The pollution classification collects the physical, chemical and biological property data of various pollutants, comprehensively considers multiple indicators in the construction environment, obtains a comprehensive indicator as the basis for classification through weighted summation or comprehensive evaluation, and establishes a calculation formula for the comprehensive indicator.

10. A method for treating pollutants in complex source construction environment according to claim 9, characterized in that: When performing weighted summation or comprehensive evaluation, the methods used include but are not limited to the analytic hierarchy process (AHP) and expert consultation method.

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