Atmospheric environment simulation diffusion method and system based on GIS and virtual reality

Abstract

The invention relates to the technical field of atmospheric environment risk early warning, in particular to an atmospheric environment simulation diffusion method and system based on GIS and virtual reality. When atmospheric environment simulation diffusion is simulated, multi-source data used for atmospheric simulation diffusion simulation is firstly obtained, then data processing is carried out on the multi-source data, and the atmospheric environment risk early warning is carried out. In the data processing step, when the atmospheric environment simulation diffusion of the pollution source is simulated, the resolution of the geographic grid and the resolution of the pollution source data grid are connected, so that the information loss caused by data mismatching in the data fusion process can be reduced, and the reliability of the atmospheric environment simulation diffusion result is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of atmospheric environmental risk early warning, and in particular to an atmospheric environmental simulation diffusion method and system based on GIS and virtual reality. Background Art

[0002] Since the 1980s, with the rapid development of information technology, the popularization of the Internet, the construction of information highways, and the introduction of the concept of "digital earth", a strong wave of informatization has been set off in the world. With the rapid development of industrialization and urbanization, as an important aspect of urbanization, the quality of the atmospheric environment has received increasing attention. Accurate simulation and prediction of the diffusion of atmospheric pollutants are of great significance for environmental monitoring, pollution control and emergency response. Existing atmospheric environment simulation systems are mostly based on traditional numerical models, such as Gaussian diffusion models, but these models have deficiencies in spatial visualization and interactivity. In recent years, GIS technology has made significant progress in spatial data management and analysis. In existing studies, when combining GIS data and pollution data, only the resolution of GIS data and pollution source data is set separately, without considering the grid mismatch between the two during simulation, which may affect the authenticity of the simulation results. Summary of the invention

[0003] In order to solve the above technical problems, the present invention provides an atmospheric environment simulation diffusion method and system based on GIS and virtual reality, which are used to solve the problems existing in the prior art.

[0004] The present invention provides an atmospheric environment simulation diffusion method based on GIS and virtual reality, comprising: S1: Collect multi-source data, including GIS data, pollution source data and meteorological data; S2: performing data processing operations on the multi-source data to obtain processed multi-source data; Processing operations on the multi-source data include GIS data processing and pollution source data processing; The GIS data is processed as follows: converting the GIS data into a high-resolution geographic grid; The pollution source data is processed as follows: discrete air quality monitoring data is converted into continuous air quality monitoring data; Specifically: converting the pollution source data into a pollution source data grid, Determining the resolution of the pollution source data grid according to the set grid resolution of the atmospheric environment simulation diffusion simulation and the resolution of the geographic grid, and converting the discrete air quality monitoring data into continuous air quality monitoring data according to the resolution of the pollution source data grid; S3: Establish atmospheric diffusion model; S4: inputting the meteorological data and the processed pollution source data into the atmospheric diffusion model to obtain the pollutant diffusion result; S5: The processed GIS data grid and pollutant diffusion results are dynamically displayed in the virtual reality scene tactical module.

[0005] Preferably, in S2, the specific formula for determining the resolution of the pollution source data grid according to the set grid resolution of the atmospheric environment simulation diffusion simulation and the resolution of the geographic grid is:

[0006]

[0007] In the formula, is the resolution value of the pollution source data grid, m is the adjustment factor of the pollution source data grid, is the resolution value of the geographic grid, k is the adjustment factor of the geographic grid; Sets the grid resolution for atmospheric diffusion simulations.

[0008] Preferably, k=5.

[0009] Preferably, the GIS data includes terrain elevation, building distribution, and road network data, and the pollution source data is air quality monitoring data provided by a regulatory agency.

[0010] Preferably, the GIS data is converted into a high-resolution geographic grid using an inverse distance weighted difference method (IDW).

[0011] Preferably, in S3, the atmospheric diffusion model is a Gaussian model.

[0012] Preferably, in S4, the meteorological data is measured meteorological data, including temperature, humidity, wind speed, wind direction, and air pressure.

[0013] According to another aspect of the present invention, there is provided an atmospheric environment simulation diffusion system based on GIS and virtual reality, the system adopts the above-mentioned atmospheric environment simulation diffusion method based on GIS and virtual reality, and the system comprises: A multi-source data acquisition module is used to collect multi-source data, wherein the multi-source data includes GIS data, pollution source data and meteorological data; A multi-source data processing module, used to perform data processing operations on the multi-source data to obtain processed multi-source data; The multi-source data processing includes GIS data processing and pollution source data processing; the pollution source data processing includes: converting discrete air quality monitoring data into continuous air quality monitoring data; specifically: determining the resolution of the pollution source data grid according to the resolution of the geographic grid; determining the resolution of the pollution source data grid according to the set grid resolution of the atmospheric environment simulation diffusion simulation and the resolution of the geographic grid; Atmospheric diffusion model building module, used to build an atmospheric diffusion model; A pollutant diffusion calculation module is used to input meteorological data and processed pollution source data into the atmospheric diffusion model to obtain pollutant diffusion results; The virtual reality display module is used to dynamically display the pre-processed GIS data grid and pollutant diffusion results in the virtual reality scene tactical module.

[0014] The embodiments of the present invention have the following technical effects: When simulating the diffusion of atmospheric environment simulation, the present invention first obtains multi-source data for atmospheric simulation diffusion simulation, and then processes the multi-source data. In the data processing step, when simulating the diffusion of atmospheric environment simulation of pollution sources, a connection is established between the resolution of the geographic grid and the resolution of the pollution source data grid, which can reduce information loss caused by data mismatch during data fusion and improve the reliability of atmospheric environment simulation diffusion results. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 The present invention provides a flowchart of an atmospheric environment simulation diffusion method based on GIS and virtual reality. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely below. 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 belong to the scope of protection of the present invention.

[0018] Attached Figure 1A flow chart of an atmospheric environment simulation diffusion method based on GIS and virtual reality is shown in the attached figure. Figure 1 As shown, a method for atmospheric environment simulation diffusion based on GIS and virtual reality includes: S1: Collect multi-source data, including GIS data, pollution source data and meteorological data; The GIS data includes terrain elevation, building distribution, road network and other data, wherein the acquisition process is: taking high-resolution images of the target area by drone, then using GIS software to interpret the high-resolution images, extracting geographic elements of the high-resolution images, the geographic elements including terrain elevation, building distribution, road network and the like; then marking and assigning attributes to the extracted geographic elements, thereby obtaining GIS data; The pollution source data are air quality monitoring data provided by regulatory agencies.

[0019] S2: performing data processing operations on the multi-source data to obtain processed multi-source data; Wherein, the multi-source data processing includes GIS data processing and pollution source data processing; The GIS data processing specifically processes the GIS data to generate a high-resolution geographic grid; In this embodiment, the GIS data is converted into a high-resolution geographic grid using an inverse distance weighted difference method (IDW); The method of converting the GIS data into a high-resolution geographic grid using the inverse distance weighted difference method (IDW) is as follows: Determine the resolution and grid range of the output geographic grid; Exemplarily, the resolution of the geographic grid is 10m×10m; For each grid point (x 0 ,y 0 ), calculate its relationship with all known points (x i ,y i ) between 0 ,x i ); The calculation formula is:

[0020] Calculate the weight ω of each called call based on the distance i ; The calculation formula is:

[0021] Wherein, p is a power parameter, and in this embodiment, p=2; Calculate the value of the grid point using the weighted average formula ;

[0022] Where n is the total number of grid points, is the value of the known grid point; The above process is repeated to produce a continuous interpolation network.

[0023] Meanwhile, the GIS data processing also includes performing data preprocessing operations on the GIS data, and the data preprocessing operations include: data cleaning, data format conversion and coordinate system one; The data cleaning includes removing duplicate data, filling missing values ​​and correcting erroneous data. The removing duplicate data is to delete the duplicate geographic elements in the GIS data, the filling missing values ​​is to use the interpolation algorithm to make up the missing geographic elements, and the correcting erroneous data includes correcting the coordinate erroneous data or attribute erroneous data in the GIS data. The data format conversion converts the GIS data into a format supported by GIS software. In this embodiment, the data can be converted into Shapefile format, GeoJSON format, GeoTIFF format, etc. The first coordinate system is to convert the GIS data into a unified coordinate system, for example, it can be converted into WGS84, UTM, etc.; The pollution source data is processed as follows: discrete air quality monitoring data is converted into continuous air quality monitoring data; The specific steps of converting discrete air quality monitoring data into continuous air quality monitoring data are as follows: Determining the resolution of the pollution source data grid according to the resolution of the geographic grid; In fact, in the above steps, when processing GIS data, a denser grid is interpolated and generated for the GIS data. However, in existing studies, when combining GIS data and pollution data, only the resolution of GIS data and pollution source data is set separately, without considering the grid mismatch problem between the two during simulation, which may affect the authenticity of the simulation results. Therefore, in this embodiment, when simulating the atmospheric environment diffusion of pollution sources, the resolution of the geographic grid is linked to the resolution of the pollution source data grid, specifically: Determining the resolution of the pollution source data grid according to the set grid resolution of the atmospheric environment simulation diffusion simulation and the resolution of the geographic grid; The specific formula is:

[0024]

[0025] In the formula, is the resolution value of the pollution source data grid, m is the adjustment factor of the pollution source data grid, is the resolution value of the geographic grid, k is the adjustment factor of the geographic grid; is the set grid resolution for atmospheric environment simulation diffusion simulation; in this embodiment, k=5; the set grid resolution for atmospheric environment simulation diffusion simulation is a parameter preset during atmospheric environment simulation diffusion simulation; It is worth emphasizing that if the resolution of the geographic grid is 10m×10m, the value of the resolution of the geographic grid is 10; In this embodiment, through the above process, the information loss caused by data mismatch during the data fusion process can be reduced, and the reliability of the atmospheric environment simulation diffusion result can be improved.

[0026] S3: Establish atmospheric diffusion model; In this embodiment, an atmospheric diffusion model is established based on a numerical simulation method to simulate the diffusion process of pollutants released by pollution sources in space and time; The atmospheric diffusion model is a Gaussian model. The Gaussian model is a classic atmospheric diffusion model that is widely used to simulate the diffusion process of pollutants in the atmosphere. It is based on the Gaussian distribution (normal distribution) assumption and can quickly calculate the concentration distribution of pollutants in space and time.

[0027] S4: inputting the meteorological data and the processed pollution source data into the atmospheric diffusion model to obtain the pollutant diffusion result; The meteorological data are measured meteorological data, including temperature, humidity, wind speed, wind direction, air pressure, etc. of the target area; The pollutant diffusion results are the actual and spatial diffusion of pollutants under the meteorological conditions at that time; S5: The processed GIS data grid and pollutant diffusion results are dynamically displayed in the virtual reality scene tactical module.

[0028] Embodiment 2, the present invention further provides an atmospheric environment simulation diffusion system based on GIS and virtual reality, the system adopts an atmospheric environment simulation diffusion method based on GIS and virtual reality in embodiment 1, the system comprises: A multi-source data acquisition module is used to collect multi-source data, wherein the multi-source data includes GIS data and pollution source data; A multi-source data processing module, used to perform data processing operations on the multi-source data to obtain processed multi-source data; The multi-source data processing includes GIS data processing and pollution source data processing; the pollution source data processing includes: converting discrete air quality monitoring data into continuous air quality monitoring data; specifically: determining the resolution of the pollution source data grid according to the resolution of the geographic grid; determining the resolution of the pollution source data grid according to the set grid resolution of the atmospheric environment simulation diffusion simulation and the resolution of the geographic grid; Atmospheric diffusion model building module, used to build an atmospheric diffusion model; A pollutant diffusion calculation module is used to input meteorological data and processed pollution source data into the atmospheric diffusion model to obtain pollutant diffusion results; The virtual reality display module is used to dynamically display the processed GIS data grid and pollutant diffusion results in the virtual reality scene tactical module.

[0029] Embodiment 3, the present invention also provides an electronic device, including one or more processors and a memory.

[0030] The processor may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0031] The memory may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor may run the program instructions to implement a method for simulating diffusion of atmospheric environment based on GIS and virtual reality and / or other desired functions of any embodiment of the present application described above. Various contents such as initial external parameters, thresholds, etc. may also be stored in the computer-readable storage medium.

[0032] In one example, the electronic device may further include: an input device and an output device, and these components are interconnected through a bus system and / or other forms of connection mechanisms (not shown). The input device may include, for example, a keyboard, a mouse, etc. The output device may output various information to the outside, including early warning information, braking force, etc. The output device may include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, etc.

[0033] Of course, for the sake of simplicity, components such as buses, input / output interfaces, etc. are omitted. In addition, the electronic device may further include any other appropriate components according to specific application conditions.

[0034] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to implement the function of an atmospheric environment simulation diffusion method based on GIS and virtual reality provided in any embodiment of the present application.

[0035] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0036] In addition, an embodiment of the present application may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor implements an atmospheric environment simulation diffusion method based on GIS and virtual reality provided in any embodiment of the present application.

[0037] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0038] It should be noted that the terms used in the present invention are only for describing specific embodiments, rather than limiting the scope of the present application. As shown in the present specification, unless the context clearly indicates an exception, the words "one", "a", "a kind of" and / or "the" do not specifically refer to the singular, but may also include the plural. The terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method or device. In the absence of more restrictions, the elements defined by the sentence "include one..." do not exclude the presence of other identical elements in the process, method or device including the elements.

[0039] It should also be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", etc. should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0040] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A method for atmospheric environment simulation diffusion based on GIS and virtual reality, characterized in that: include: S1: Collect multi-source data, including GIS data, pollution source data and meteorological data; S2: performing data processing operations on the multi-source data to obtain processed multi-source data; Processing operations on the multi-source data include GIS data processing and pollution source data processing; The GIS data is processed as follows: converting the GIS data into a high-resolution geographic grid; The pollution source data is processed as follows: discrete air quality monitoring data is converted into continuous air quality monitoring data; Specifically: converting the pollution source data into a pollution source data grid, Determining the resolution of the pollution source data grid according to the set grid resolution of the atmospheric environment simulation diffusion simulation and the resolution of the geographic grid, and converting the discrete air quality monitoring data into continuous air quality monitoring data according to the resolution of the pollution source data grid; S3: Establish atmospheric diffusion model; S4: inputting the meteorological data and the processed pollution source data into the atmospheric diffusion model to obtain the pollutant diffusion result; S5: The processed GIS data grid and pollutant diffusion results are dynamically displayed in the virtual reality scene tactical module.

2. The atmospheric environment simulation diffusion method based on GIS and virtual reality according to claim 1, characterized in that: In S2, the specific formula for determining the resolution of the pollution source data grid according to the set grid resolution of the atmospheric environment simulation diffusion simulation and the resolution of the geographic grid is: In the formula, is the resolution value of the pollution source data grid, m is the adjustment factor of the pollution source data grid, is the resolution value of the geographic grid, k is the adjustment factor of the geographic grid; Sets the grid resolution for atmospheric diffusion simulations.

3. The atmospheric environment simulation diffusion method based on GIS and virtual reality according to claim 2, characterized in that: The constant k=5 is related to the simulation diffusion range.

4. The atmospheric environment simulation diffusion method based on GIS and virtual reality according to claim 1, characterized in that: The GIS data includes terrain elevation, building distribution, and road network data, and the pollution source data is air quality monitoring data.

5. The atmospheric environment simulation diffusion method based on GIS and virtual reality according to claim 1, characterized in that: The GIS data is converted into a high-resolution geographic grid using the inverse distance weighted difference method.

6. The atmospheric environment simulation diffusion method based on GIS and virtual reality according to claim 1, characterized in that: In S3, the atmospheric diffusion model is a Gaussian model.

7. The atmospheric environment simulation diffusion method based on GIS and virtual reality according to claim 1 is characterized in that: In S4, the meteorological data is measured meteorological data, including temperature, humidity, wind speed, wind direction, and air pressure.

8. An atmospheric environment simulation diffusion system based on GIS and virtual reality, characterized in that: The system adopts the atmospheric environment simulation diffusion method based on GIS and virtual reality according to any one of claims 1 to 7, and the system comprises: A multi-source data acquisition module is used to collect multi-source data, wherein the multi-source data includes GIS data, pollution source data and meteorological data; A multi-source data processing module, used to perform data processing operations on the multi-source data to obtain processed multi-source data; The multi-source data processing includes GIS data processing and pollution source data processing; the pollution source data processing includes: converting discrete air quality monitoring data into continuous air quality monitoring data; specifically: determining the resolution of the pollution source data grid according to the resolution of the geographic grid; determining the resolution of the pollution source data grid according to the set grid resolution of the atmospheric environment simulation diffusion simulation and the resolution of the geographic grid; Atmospheric diffusion model building module, used to build an atmospheric diffusion model; A pollutant diffusion calculation module is used to input meteorological data and processed pollution source data into the atmospheric diffusion model to obtain pollutant diffusion results; The virtual reality display module is used to dynamically display the processed GIS data grid and pollutant diffusion results in the virtual reality scene tactical module.

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