Mobile point source emission method for aircraft exhaust pollution diffusion

Abstract

The present invention relates to the field of electronic digital data processing technology, and in particular to a mobile point source emission method for aircraft exhaust pollution diffusion, wherein the method comprises: using a preset mobile point source model to capture the changes in the aircraft flight trajectory in real time, and dynamically determining the spatial position of the target emission source and the emission intensity of the target pollution component according to the changes in the aircraft flight trajectory; combining the preset mobile point source model with the flight data of the quick access recorder QAR, and simulating the aircraft emission diffusion distribution law according to the dynamic flight data of the aircraft; using the flight data and meteorological data of the quick access recorder QAR to process the aircraft flight emission data to generate the aircraft exhaust pollution diffusion processing result. Thus, the existing emission source technology solves the problems of insufficient dynamic characteristics simulation, low time and space resolution, imperfect multi-stage flight trajectory processing and low calculation efficiency when simulating the diffusion of aircraft pollutants.

Description

Technical Field

[0001] The invention relates to the technical field of electronic digital data processing, and in particular to a mobile point source emission method for aircraft exhaust pollution diffusion. Background Art

[0002] During the takeoff and landing phases of an aircraft, the pollution impact on the local environment is particularly significant due to the concentrated emissions and low altitude above the ground. Therefore, studying the diffusion law of aircraft pollutant emissions and establishing a high-precision diffusion model has become one of the key tasks in environmental research and pollutant monitoring in the aviation field.

[0003] At present, traditional atmospheric diffusion models are mainly based on the assumption of fixed point sources or line sources, and are used to simulate the diffusion behavior of stationary sources or simple emission sources. Although these models have been applied to industrial sources, urban traffic emissions and other fields, they have obvious limitations in dealing with the diffusion behavior of aircraft emissions, which have significant spatiotemporal dynamic characteristics. On the one hand, the position, altitude and intensity of emission sources change with time during the flight of an aircraft, and it is difficult for traditional fixed point source or line source models to reflect this dynamic characteristic; on the other hand, the complexity of the aircraft's flight trajectory (such as multiple flight paths, altitude changes, etc.) puts forward higher accuracy requirements for the diffusion model, while existing models usually adopt unified assumptions and cannot accurately capture these details. In addition, the rapid changes in meteorological conditions (such as wind speed, wind direction, temperature, etc.) further aggravate the complexity of the simulation, which puts higher requirements on the temporal and spatial resolution of the diffusion model.

[0004] With the advancement of pollutant diffusion simulation technology, traditional models are gradually developing in the direction of high resolution and dynamics. For example, the mobile source diffusion model that has emerged in recent years has achieved certain results in the field of road traffic. By introducing the concept of dynamic emission sources, the prediction accuracy of the diffusion behavior of mobile emission sources has been improved. However, the research on this type of model is mostly concentrated in the field of ground transportation, and has not yet fully considered complex emission sources such as aircraft with significant height variation characteristics. In the aviation field, the research direction of the model is gradually expanding to the following aspects: Dynamic emission source modeling: In view of the dynamics of emission sources during aircraft flight, research on models that can track the location and intensity changes of emission sources in real time to reflect the spatiotemporal characteristics of aircraft trajectories; High temporal resolution simulation: Improve the model's ability to capture instantaneous emission behavior during flight and solve the problem of insufficient temporal resolution of existing models; High spatial resolution simulation: Develop models that can match the emission area scale during aircraft takeoff and landing to provide support for evaluating the diffusion behavior of low-altitude emissions.

[0005] However, existing emission source technologies have problems such as insufficient simulation of dynamic characteristics, low temporal and spatial resolution, imperfect processing of multi-stage flight trajectories, and low computational efficiency when simulating the diffusion of aircraft pollutants, which urgently need to be improved. Summary of the invention

[0006] The present invention provides a mobile point source emission method for aircraft exhaust pollution diffusion, so as to solve the following problems in related technologies: simplified model assumptions: traditional models generally assume that the emission source is a fixed point source or a line source, and do not introduce a modeling mechanism for the dynamic change of the emission source with the flight trajectory, so it is impossible to capture the spatiotemporal change characteristics of the emission source during the flight of the aircraft; lack of high-resolution framework: in order to reduce the computational complexity, traditional models usually adopt hourly steps in time and ignore the details of the emission area in space, which makes it impossible to meet the needs of short-term and high-precision simulation in stages such as aircraft takeoff and landing; static meteorological processing: traditional diffusion models mostly rely on fixed or uniform meteorological data input, and fail to update the coupling relationship between dynamic meteorological conditions such as wind speed and wind direction and the emission diffusion process in real time, which seriously affects the accuracy of diffusion prediction; modeling is insensitive to complex trajectories: traditional models do not establish an effective characterization mechanism for the segmented dynamic characteristics of the flight trajectory (such as takeoff, climb, cruise, and landing), resulting in the neglect of the stage characteristics of the diffusion behavior; low efficiency of the calculation method: traditional numerical solutions require a large amount of computing resources, are inefficient when simulating large-scale or complex emission scenarios, and are difficult to meet the needs of real-time or high-frequency simulation.

[0007] The first aspect of the present invention provides a mobile point source emission method for aircraft exhaust pollution diffusion, comprising the following steps: using a preset mobile point source model to capture changes in the aircraft's flight trajectory in real time, and dynamically determining the spatial position of a target emission source and the emission intensity of a target pollutant component according to changes in the aircraft's flight trajectory; based on the position of the target emission source and the emission intensity of the target pollutant component, combining the preset mobile point source model with the flight data of a quick read access recorder QAR to generate dynamic flight data of the aircraft, and simulating the aircraft emission diffusion distribution law based on the dynamic flight data of the aircraft to generate a simulated aircraft emission diffusion distribution law; using an optimized three-dimensional Euler-Lagrangian combined algorithm, based on the simulated aircraft emission diffusion distribution law, using the flight data of the quick read access recorder QAR The method comprises: using the flight data and meteorological data of the quick access recorder QAR to process the flight emission data of the aircraft to generate the exhaust pollution diffusion processing result of the aircraft, wherein the method comprises: inputting at least one meteorological data of wind speed, wind direction, temperature and humidity, the flight data of the quick access recorder QAR and the mobile emission source data of the aircraft into a pre-built atmospheric diffusion model to generate target data, and calculating at least one influencing factor of diffusion coefficient, turbulence intensity and mixing height according to the target data; calculating the spatiotemporal distribution of pollutants based on the at least one influencing factor, and determining the exhaust pollution diffusion processing result of the aircraft according to the spatiotemporal distribution of the pollutants.

[0008] Optionally, in one embodiment of the present invention, before using the preset moving point source model to capture changes in the aircraft's flight trajectory in real time, it also includes: obtaining at least one parameter of the aircraft's speed, horizontal angle, climb angle, direction, start time and end time; and constructing the preset moving point source model based on the at least one parameter.

[0009] Optionally, in one embodiment of the present invention, the dynamically determining the spatial position of the target emission source and the emission intensity of the target pollutant component according to the change of the aircraft's flight trajectory includes: dynamically adjusting the target emission source based on the change of the aircraft's flight trajectory, the flight data and the at least one parameter to determine the spatial position of the target emission source and the emission intensity of the target pollutant component.

[0010] Optionally, in one embodiment of the present invention, after using a preset moving point source model to capture the changes in the aircraft's flight trajectory in real time, it also includes: simulating the position changes of the aircraft according to the changes in the aircraft's flight trajectory to generate simulated position changes of the aircraft; based on the simulated position changes of the aircraft, calculating the exhaust emission diffusion and distribution data of the aircraft.

[0011] Optionally, in one embodiment of the present invention, the flight data and meteorological data of the quick access recorder QAR are used to process the flight emission data of the aircraft to generate the exhaust pollution diffusion treatment result of the aircraft, including: inputting at least one meteorological data of wind speed, wind direction, temperature and humidity, the flight data of the quick access recorder QAR and the mobile emission source data of the aircraft into a pre-built atmospheric diffusion model to generate target data, and calculating at least one influencing factor of diffusion coefficient, turbulence intensity and mixing height according to the target data; based on the at least one influencing factor, calculating the spatiotemporal distribution of pollutants, and determining the exhaust pollution diffusion treatment result of the aircraft according to the spatiotemporal distribution of the pollutants.

[0012] The second aspect of the present invention provides a mobile point source emission device for aircraft exhaust pollution diffusion, including: a capture module, which is used to use a preset mobile point source model to capture the changes in the aircraft's flight trajectory in real time, and dynamically determine the spatial position of the target emission source and the emission intensity of the target pollution component according to the changes in the aircraft's flight trajectory; a simulation module, which is used to combine the preset mobile point source model with the flight data of a quick read access recorder QAR based on the position of the target emission source and the emission intensity of the target pollution component to generate the dynamic flight data of the aircraft, and simulate the aircraft emission diffusion distribution law according to the dynamic flight data of the aircraft to generate a simulated aircraft emission diffusion distribution law; a generation module, which is used to adopt an optimized three-dimensional Euler-Lagrangian combined algorithm, based on the simulated aircraft emission diffusion distribution law, using the quick read access recorder QAR to generate a simulated aircraft emission diffusion distribution law. The flight data and meteorological data of the quick access recorder QAR are used to process the flight emission data of the aircraft to generate the exhaust pollution diffusion processing result of the aircraft, wherein the use of the flight data and meteorological data of the quick access recorder QAR to process the flight emission data of the aircraft to generate the exhaust pollution diffusion processing result of the aircraft includes: inputting at least one meteorological data of wind speed, wind direction, temperature and humidity, the flight data of the quick access recorder QAR and the mobile emission source data of the aircraft into a pre-constructed atmospheric diffusion model to generate target data, and calculating at least one influencing factor of diffusion coefficient, turbulence intensity and mixing height according to the target data; based on the at least one influencing factor, calculating the spatiotemporal distribution of pollutants, and determining the exhaust pollution diffusion processing result of the aircraft according to the spatiotemporal distribution of the pollutants.

[0013] Optionally, in one embodiment of the present invention, it also includes: an acquisition module, used to obtain at least one parameter of the aircraft's speed, horizontal angle, climb angle, direction, start time and end time before using the preset moving point source model to capture changes in the aircraft's flight trajectory in real time; a construction module, used to construct the preset moving point source model according to the at least one parameter.

[0014] Optionally, in one embodiment of the present invention, the capture module includes: a determination unit, used to dynamically adjust the target emission source based on changes in the aircraft's flight trajectory, the flight data and the at least one parameter to determine the spatial position of the target emission source and the emission intensity of the target pollutant component.

[0015] Optionally, in one embodiment of the present invention, it also includes: a change simulation module, which is used to simulate the position change of the aircraft according to the change of the aircraft's flight trajectory after capturing the change of the aircraft's flight trajectory in real time using a preset moving point source model, so as to generate a simulated position change of the aircraft; and a calculation module, which is used to calculate the exhaust emission diffusion and distribution data of the aircraft based on the simulated position change of the aircraft.

[0016] Optionally, in one embodiment of the present invention, the generation module includes: an input unit, used to input at least one meteorological data of wind speed, wind direction, temperature and humidity, the flight data of the quick access recorder QAR and the mobile emission source data of the aircraft into a pre-built atmospheric diffusion model to generate target data, and calculate at least one influencing factor of diffusion coefficient, turbulence intensity and mixing height based on the target data; a result determination unit, used to calculate the spatiotemporal distribution of pollutants based on the at least one influencing factor, and determine the exhaust pollution diffusion treatment result of the aircraft based on the spatiotemporal distribution of the pollutants.

[0017] A third aspect of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the mobile point source emission method for the diffusion of aircraft exhaust pollution as described in the above embodiments.

[0018] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned mobile point source emission method for the diffusion of aircraft exhaust pollution.

[0019] A fifth aspect of the present invention provides a computer program product, which stores a computer program that, when executed by a processor, implements the above-mentioned mobile point source emission method for the diffusion of aircraft exhaust pollution.

[0020] The embodiment of the present invention can be based on a dynamic emission source model of aircraft flight trajectory and emission characteristic changes. By introducing a real-time updated emission source location and emission rate change mechanism, combined with QAR (Quick Access Record) flight data, Euler-Lagrange algorithm, etc., a simulation framework with high temporal and spatial resolution can be constructed to accurately reflect the emission behavior of aircraft in different flight stages. The model can handle the interaction between multi-stage flight trajectories and emission sources, has high-precision diffusion prediction capabilities, and has a small amount of calculation. It can be used for large-scale aircraft transient and long-term emission diffusion and distribution calculation simulations, and can provide more accurate diffusion prediction results for the environmental assessment of aviation emissions. As a result, the existing emission source technology solves the problems of insufficient dynamic characteristic simulation, low temporal and spatial resolution, imperfect multi-stage flight trajectory processing, and low calculation efficiency when simulating aircraft pollutant diffusion.

[0021] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0023] Figure 1 A flowchart of a mobile point source emission method for aircraft exhaust pollution diffusion provided according to an embodiment of the present invention;

[0024] Figure 2 A calculation flow chart of a mobile point source emission method for aircraft exhaust pollution diffusion according to an embodiment of the present invention;

[0025] Figure 3 A model framework diagram of a mobile point source emission method for aircraft exhaust pollution diffusion according to an embodiment of the present invention;

[0026] Figure 4 This is a PM2.5 emission distribution result diagram generated by aircraft exhaust in an airport area according to an embodiment of the present invention;

[0027] Figure 5 Result diagram of PM2.5 emission from aircraft exhaust at observation points 1 and 2 according to an embodiment of the present invention;

[0028] Figure 6 A schematic diagram of the structure of a mobile point source emission device for aircraft exhaust pollution diffusion provided according to an embodiment of the present invention;

[0029] Figure 7 It is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0030] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0031] The following describes the mobile point source emission method for the diffusion of aircraft exhaust pollution in the embodiment of the present invention with reference to the accompanying drawings. In view of the problems that the existing emission source technology mentioned in the above background technology has insufficient dynamic characteristics simulation, low time and space resolution, imperfect multi-stage flight trajectory processing and low calculation efficiency when simulating the diffusion of aircraft pollutants, the present invention provides a mobile point source emission method for the diffusion of aircraft exhaust pollution, in which a dynamic emission source model based on the change of aircraft flight trajectory and emission characteristics can be introduced by introducing a real-time updated emission source position and emission rate change mechanism, and combining QAR data, Euler-Lagrange algorithm, etc. to build a simulation framework with high time and space resolution, accurately reflecting the emission behavior of aircraft in different flight stages. The model can handle the interaction between multi-stage flight trajectories and emission sources, has high-precision diffusion prediction capabilities, and has a small amount of calculation. It can be used for large-scale aircraft transient and long-term emission diffusion and distribution calculation simulation, and can provide more accurate diffusion prediction results for the environmental assessment of aviation emissions. As a result, the existing emission source technology solves the problems of insufficient dynamic characteristics simulation, low time and space resolution, imperfect multi-stage flight trajectory processing and low calculation efficiency when simulating the diffusion of aircraft pollutants.

[0032] Specifically, Figure 1 A flow chart of a mobile point source emission method for preventing aircraft exhaust pollution from spreading provided by an embodiment of the present invention.

[0033] like Figure 1 As shown, the mobile point source emission method for the diffusion of aircraft exhaust pollution includes the following steps:

[0034] In step S101, a preset mobile point source model is used to capture changes in the aircraft's flight trajectory in real time, and the spatial position of the target emission source and the emission intensity of the target pollutant component are dynamically determined according to the changes in the aircraft's flight trajectory.

[0035] It can be understood that the mobile point source model preset in the embodiment of the present invention has the characteristics of high time resolution, high prediction accuracy and small calculation amount, and can adapt to the complex emission characteristics under actual flight conditions.

[0036] In actual implementation, traditional pollutant diffusion models usually assume that the emission source is a fixed point source or line source, which makes it difficult to accurately simulate dynamic emission characteristics. The embodiments of the present invention can use a preset mobile point source model to capture the changes in the aircraft's flight trajectory in real time, and dynamically adjust the location and emission rate of the emission source according to the changes in the aircraft's flight trajectory to determine the spatial location of the target emission source and the emission intensity of the target pollutant component, thereby improving the simulation accuracy of the pollutant diffusion law under complex flight conditions and providing more accurate diffusion prediction results for the environmental assessment of aviation emissions.

[0037] The mobile point source model (i.e., dynamic emission source model) in the embodiment of the present invention can dynamically track the flight trajectory of the aircraft, adjust the position and intensity of the emission source in real time according to the speed, altitude and route of the aircraft's flight, and based on the dynamic changes in the aircraft's flight status, not only consider the spatial position of the emission source, but also consider the time changes of the emission source along the flight trajectory, thereby overcoming the limitations of traditional static point source or line source models and providing more accurate input for diffusion simulation.

[0038] Optionally, in one embodiment of the present invention, before using a preset moving point source model to capture changes in the aircraft's flight trajectory in real time, it also includes: obtaining at least one parameter of the aircraft's speed, horizontal angle, climb angle, direction, start time and end time; and constructing a preset moving point source model based on at least one parameter.

[0039] Among them, the mobile point source model preset in the embodiment of the present invention introduces six key parameters (speed, horizontal angle, climbing angle, direction, start and end time), thereby providing support for dynamically adjusting the spatial position of the emission source and the emission intensity of the pollutant components through time-varying parameters.

[0040] Optionally, in one embodiment of the present invention, the spatial position of the target emission source and the emission intensity of the target pollutant component are dynamically determined according to the change of the aircraft's flight trajectory, including: dynamically adjusting the target emission source based on the change of the aircraft's flight trajectory, flight data and at least one parameter to determine the spatial position of the target emission source and the emission intensity of the target pollutant component.

[0041] As a possible implementation method, in each calculation step of the simulation process, the embodiment of the present invention obtains the above-mentioned key operating parameter information according to the flight trajectory and flight status data (such as QAR data) of the aircraft, so as to update the emission source location and the emission intensity of the pollutant component (such as NOx, PM2.5, etc.) in real time, and dynamically adjust the target emission source to determine the spatial location of the target emission source and the emission intensity of the target pollutant component, such as Figure 2 shown.

[0042] The embodiment of the present invention is based on the dynamic changes of the aircraft's flight status, and not only considers the spatial position of the emission source, but also considers the time change of the emission source along the flight trajectory, thereby overcoming the limitations of the traditional static point source or line source model and providing a more accurate input for diffusion simulation.

[0043] Optionally, in one embodiment of the present invention, after using a preset moving point source model to capture the changes in the aircraft's flight trajectory in real time, it also includes: simulating the position changes of the aircraft according to the changes in the aircraft's flight trajectory to generate simulated position changes of the aircraft; based on the simulated position changes of the aircraft, calculating the aircraft's exhaust emission diffusion and distribution data.

[0044] During the actual implementation process, the embodiments of the present invention can preset the route according to the planned flight trajectory of the aircraft to simulate the position change of the aircraft, generate the simulated position change of the aircraft, and calculate the aircraft's exhaust emission diffusion and distribution data based on the simulated position change of the aircraft, thereby providing more accurate diffusion prediction results for the environmental assessment of aviation emissions and providing the possibility for real-time pollutant diffusion prediction.

[0045] In step S102, based on the location of the target emission source and the emission intensity of the target pollutant component, the preset mobile point source model is combined with the flight data of the quick access recorder QAR to generate dynamic flight data of the aircraft, and the aircraft emission diffusion distribution law is simulated according to the dynamic flight data of the aircraft to generate a simulated aircraft emission diffusion distribution law.

[0046] Among them, the embodiment of the present invention maintains flexibility and diversity through the mobile point source model algorithm framework. Based on the location of the target emission source and the emission intensity of the target pollutant component, the preset mobile point source model is combined with real flight data such as the quick access recorder QAR to generate dynamic flight data of the aircraft. According to the dynamic flight data of the aircraft, rapid iteration is performed in the calculation process to simulate the diffusion distribution law of aircraft emissions to generate a simulated aircraft emission diffusion distribution law, thereby providing support for significantly improving the simulation capability of pollutant diffusion distribution under actual flight conditions.

[0047] The embodiment of the present invention adopts an efficient computing framework, which can quickly process large-scale flight data and significantly reduce the computing cost while ensuring high prediction accuracy. By coupling with fast access recorder data, the model can further enhance the simulation capability of aircraft emission diffusion process and law, providing a scientific basis for the precise management of pollutants in the aviation field and the formulation of environmental protection policies.

[0048] In step S103, an optimized three-dimensional Euler-Lagrangian combined algorithm is used to simulate the aircraft emission diffusion distribution law, and the flight data and meteorological data of the quick access recorder QAR are used to process the aircraft's flight emission data to generate the aircraft's exhaust pollution diffusion processing result, wherein the flight data and meteorological data of the quick access recorder QAR are used to process the aircraft's flight emission data to generate the aircraft's exhaust pollution diffusion processing result, including: inputting at least one meteorological data of wind speed, wind direction, temperature and humidity, the flight data of the quick access recorder QAR and the aircraft's mobile emission source data into a pre-constructed atmospheric diffusion model to generate target data, and calculating at least one influencing factor of the diffusion coefficient, turbulence intensity and mixing height according to the target data; based on at least one influencing factor, calculating the spatiotemporal distribution of pollutants, and determining the aircraft's exhaust pollution diffusion processing result according to the spatiotemporal distribution of pollutants.

[0049] It can be understood that the meteorological data in the embodiment of the present invention may be real-time meteorological data or meteorological forecast data.

[0050] During the actual execution process, the mobile point source model algorithm in the embodiment of the present invention adopts an optimized three-dimensional Euler-Lagrangian combined algorithm, which can simulate the aircraft emission diffusion distribution law and use the flight data of the quick access recorder QAR and real-time meteorological data or meteorological forecast data to process the aircraft's flight emission data to generate the aircraft's exhaust pollution diffusion treatment results.

[0051] The present invention introduces the above-mentioned real-time updated emission source location and emission rate change mechanism, combines QAR data, Euler-Lagrangian algorithm, etc. to build a simulation framework with high temporal and spatial resolution, and accurately reflects the emission behavior of aircraft at different flight stages. The model can handle the interaction between multi-stage flight trajectories and emission sources, has high-precision diffusion prediction capabilities, and has a small amount of calculation. It can be used for large-scale aircraft transient and long-term emission diffusion and distribution calculation simulation, and can provide more accurate diffusion prediction results for environmental assessment of aviation emissions.

[0052] The embodiment of the present invention can organically couple the mobile emission source model with the atmospheric diffusion model. Figure 3As shown, key meteorological data such as wind speed, wind direction, temperature and humidity, flight data of the quick access recorder QAR and mobile emission source data of the aircraft are used as diffusion model input conditions and input into the pre-built atmospheric diffusion model to generate target data, and the diffusion coefficient, turbulence intensity and mixing height and other influencing factors that change with time and space are calculated based on the target data. The embodiment of the present invention can numerically solve the spatiotemporal distribution of pollutants based on equations such as horizontal convection diffusion and vertical diffusion, and determine the exhaust pollution diffusion treatment results of the aircraft based on the spatiotemporal distribution of pollutants, thereby improving the simulation accuracy and efficiency, and obtaining the diffusion distribution law of aircraft exhaust emission components (such as NOx, PM2.5, etc.) in the airport area and their impact on air quality.

[0053] The simulation results are as follows:

[0054] Assume that the initial ground height of a moving point source is 5m, and the flight angle and wind direction are as follows: Figure 4 As shown, the flight speed is 2m / s, and points 1 and 2 in the figure are the locations of observation points 1 and 2. Figure 4 It can be seen that pollutants are continuously emitted and diffused over time during the flight. The PM2.5 emission results of aircraft exhaust at observation points 1 and 2 are as follows: Figure 5 shown.

[0055] The initial take-off point coordinates are 28.18778°N, 113.22074°E, corresponding to the UTM coordinates of 113.2718000, 3120000, and the altitude is 5m.

[0056] The embodiments of the present invention further reduce the amount of calculation while ensuring simulation accuracy, efficiently process large-scale flight emission data, improve the spatiotemporal resolution of aircraft exhaust emission simulation, and provide the possibility for real-time pollutant diffusion prediction. The present invention fills the limitation of traditional pollutant diffusion models that are mainly based on fixed point sources and line sources, and enables existing diffusion simulations to achieve higher prediction accuracy when targeting dynamic emission sources such as aircraft with significant height changes.

[0057] According to the mobile point source emission method for the diffusion of aircraft exhaust pollution proposed in the embodiment of the present invention, a dynamic emission source model of aircraft flight trajectory and emission characteristics can be introduced based on the real-time updated emission source position and emission rate change mechanism, and a simulation framework with high time and space resolution can be constructed in combination with QAR data, Euler-Lagrange algorithm, etc. to accurately reflect the emission behavior of aircraft in different flight stages. The model can handle the interaction between multi-stage flight trajectories and emission sources, has high-precision diffusion prediction capabilities, and has a small amount of calculation. It can be used for large-scale aircraft transient and long-term emission diffusion and distribution calculation simulation, and can provide more accurate diffusion prediction results for the environmental assessment of aviation emissions. As a result, the problems of insufficient dynamic characteristic simulation, low time and space resolution, imperfect multi-stage flight trajectory processing, and low calculation efficiency in existing emission source technologies when simulating the diffusion of aircraft pollutants are solved.

[0058] Next, a mobile point source emission device for aircraft exhaust pollution diffusion proposed according to an embodiment of the present invention will be described with reference to the accompanying drawings.

[0059] Figure 6 It is a schematic diagram of the structure of a mobile point source emission device for aircraft exhaust pollution diffusion according to an embodiment of the present invention.

[0060] like Figure 6 As shown, the mobile point source emission device 10 for preventing aircraft exhaust pollution from spreading includes: a capture module 100 , a simulation module 200 and a generation module 300 .

[0061] Specifically, the capture module 100 is used to capture the changes in the aircraft's flight trajectory in real time using a preset mobile point source model, and dynamically determine the spatial position of the target emission source and the emission intensity of the target pollutant component according to the changes in the aircraft's flight trajectory.

[0062] The simulation module 200 is used to combine the preset mobile point source model with the flight data of the quick access recorder QAR based on the location of the target emission source and the emission intensity of the target pollutant component to generate dynamic flight data of the aircraft, and simulate the aircraft emission diffusion distribution law based on the dynamic flight data of the aircraft to generate a simulated aircraft emission diffusion distribution law.

[0063] The generation module 300 is used to use an optimized three-dimensional Euler-Lagrangian combined algorithm, based on the simulation of the aircraft emission diffusion distribution law, and use the flight data and meteorological data of the quick access recorder QAR to process the aircraft's flight emission data to generate the aircraft's exhaust pollution diffusion treatment result, wherein the use of the flight data and meteorological data of the quick access recorder QAR to process the aircraft's flight emission data to generate the aircraft's exhaust pollution diffusion treatment result includes: inputting at least one meteorological data of wind speed, wind direction, temperature and humidity, the flight data of the quick access recorder QAR and the aircraft's mobile emission source data into a pre-constructed atmospheric diffusion model to generate target data, and calculating at least one influencing factor of the diffusion coefficient, turbulence intensity and mixing height according to the target data; based on at least one influencing factor, calculating the spatiotemporal distribution of pollutants, and determining the aircraft's exhaust pollution diffusion treatment result according to the spatiotemporal distribution of pollutants.

[0064] Optionally, in one embodiment of the present invention, the mobile point source emission device 10 for aircraft exhaust pollution diffusion further includes: an acquisition module and a construction module.

[0065] The acquisition module is used to acquire at least one parameter of the aircraft's speed, horizontal angle, climb angle, direction, start time and end time before using a preset moving point source model to capture changes in the aircraft's flight trajectory in real time.

[0066] The construction module is used to construct a preset moving point source model according to at least one parameter.

[0067] Optionally, in one embodiment of the present invention, the capturing module 100 includes: a determining unit.

[0068] Among them, the determination unit is used to dynamically adjust the target emission source based on the changes in the aircraft's flight trajectory, flight data and at least one parameter to determine the spatial position of the target emission source and the emission intensity of the target pollutant component.

[0069] Optionally, in one embodiment of the present invention, the mobile point source emission device 10 for aircraft exhaust pollution diffusion further includes: a change simulation module and a calculation module.

[0070] Among them, the change simulation module is used to simulate the position change of the aircraft according to the change of the aircraft's flight trajectory after capturing the change of the aircraft's flight trajectory in real time using a preset moving point source model, so as to generate a simulated position change of the aircraft.

[0071] The calculation module is used to calculate the aircraft's exhaust emission diffusion and distribution data based on the simulated position change of the aircraft.

[0072] Optionally, in one embodiment of the present invention, the generation module 300 includes: an input unit and a result determination unit.

[0073] Among them, the input unit is used to input at least one meteorological data of wind speed, wind direction, temperature and humidity, flight data of the quick access recorder QAR and the mobile emission source data of the aircraft into a pre-built atmospheric diffusion model, generate target data, and calculate at least one influencing factor of the diffusion coefficient, turbulence intensity and mixing height according to the target data.

[0074] The result determination unit is used to calculate the temporal and spatial distribution of pollutants based on at least one influencing factor, and determine the exhaust pollution diffusion treatment result of the aircraft according to the temporal and spatial distribution of pollutants.

[0075] It should be noted that the aforementioned explanation of the embodiment of the mobile point source emission method for the diffusion of aircraft exhaust pollution is also applicable to the mobile point source emission device for the diffusion of aircraft exhaust pollution in this embodiment, and will not be repeated here.

[0076] According to the mobile point source emission device for aircraft exhaust pollution diffusion proposed in the embodiment of the present invention, a dynamic emission source model based on the aircraft flight trajectory and emission characteristics changes can be introduced to build a simulation framework with high time and spatial resolution by introducing real-time updated emission source positions and emission rate change mechanisms, combined with QAR data, Euler-Lagrange algorithm, etc., to accurately reflect the emission behavior of aircraft in different flight stages. The model can handle the interaction between multi-stage flight trajectories and emission sources, has high-precision diffusion prediction capabilities, and has a small amount of calculation. It can be used for large-scale aircraft transient and long-term emission diffusion and distribution calculation simulations, and can provide more accurate diffusion prediction results for the environmental assessment of aviation emissions. As a result, the problems of insufficient dynamic characteristic simulation, low time and spatial resolution, imperfect multi-stage flight trajectory processing, and low calculation efficiency in existing emission source technologies when simulating aircraft pollutant diffusion are solved.

[0077] Figure 7 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. The electronic device may include:

[0078] A memory 701 , a processor 702 , and a computer program stored in the memory 701 and executable on the processor 702 .

[0079] When the processor 702 executes the program, the mobile point source emission method for preventing the spread of aircraft exhaust pollution provided in the above embodiment is implemented.

[0080] Furthermore, the electronic device further comprises:

[0081] The communication interface 703 is used for communication between the memory 701 and the processor 702 .

[0082] The memory 701 is used to store computer programs that can be executed on the processor 702 .

[0083] The memory 701 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0084] If the memory 701, the processor 702 and the communication interface 703 are implemented independently, the communication interface 703, the memory 701 and the processor 702 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0085] Optionally, in a specific implementation, if the memory 701, the processor 702 and the communication interface 703 are integrated on a chip, the memory 701, the processor 702 and the communication interface 703 can communicate with each other through an internal interface.

[0086] The processor 702 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention.

[0087] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned mobile point source emission method for preventing the spread of aircraft exhaust pollution.

[0088] An embodiment of the present invention further provides a computer program product on which a computer program is stored, and when the program is executed by a processor, the mobile point source emission method for preventing the spread of aircraft exhaust pollution is implemented as described above.

[0089] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0090] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "N" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0091] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present invention belong.

[0092] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or N wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0093] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0094] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0095] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0096] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A mobile point source emission method for the diffusion of aircraft exhaust pollution, characterized in that: The following steps are involved: Using a preset mobile point source model to capture changes in the aircraft's flight trajectory in real time, and dynamically determining the spatial location of the target emission source and the emission intensity of the target pollutant component according to the changes in the aircraft's flight trajectory; Based on the location of the target emission source and the emission intensity of the target pollutant component, the preset mobile point source model is combined with the flight data of the quick access recorder QAR to generate dynamic flight data of the aircraft, and the aircraft emission diffusion distribution law is simulated according to the dynamic flight data of the aircraft to generate a simulated aircraft emission diffusion distribution law; An optimized three-dimensional Euler-Lagrangian combined algorithm is adopted, based on the simulated aircraft emission diffusion distribution law, the flight data and meteorological data of the quick access recorder QAR are used to process the flight emission data of the aircraft to generate the exhaust pollution diffusion treatment result of the aircraft, wherein the process of processing the flight emission data of the aircraft using the flight data and meteorological data of the quick access recorder QAR to generate the exhaust pollution diffusion treatment result of the aircraft includes: inputting at least one meteorological data of wind speed, wind direction, temperature and humidity, the flight data of the quick access recorder QAR and the mobile emission source data of the aircraft into a pre-constructed atmospheric diffusion model to generate target data, and calculating at least one influencing factor of diffusion coefficient, turbulence intensity and mixing height according to the target data; based on the at least one influencing factor, calculating the spatiotemporal distribution of pollutants, and determining the exhaust pollution diffusion treatment result of the aircraft according to the spatiotemporal distribution of the pollutants.

2. The mobile point source emission method for aircraft exhaust pollution diffusion according to claim 1 is characterized in that: Before using the preset moving point source model to capture the change of the aircraft flight trajectory in real time, the method further includes: Obtaining at least one parameter of the aircraft's speed, horizontal angle, climb angle, direction, start time, and end time; The preset moving point source model is constructed according to the at least one parameter.

3. The mobile point source emission method for aircraft exhaust pollution diffusion according to claim 2 is characterized in that: The dynamically determining the spatial position of the target emission source and the emission intensity of the target pollutant component according to the change of the flight trajectory of the aircraft includes: Based on the change of the aircraft's flight trajectory, the flight data and the at least one parameter, the target emission source is dynamically adjusted to determine the spatial position of the target emission source and the emission intensity of the target pollutant component.

4. The mobile point source emission method for aircraft exhaust pollution diffusion according to claim 1 is characterized in that: After using the preset moving point source model to capture the changes in the aircraft's flight trajectory in real time, it also includes: Simulating a position change of the aircraft according to a change in the flight trajectory of the aircraft to generate a simulated position change of the aircraft; Based on the simulated position change of the aircraft, exhaust emission diffusion and distribution data of the aircraft is calculated.

5. A mobile point source emission device for aircraft exhaust pollution diffusion, characterized in that: The mobile point source emission method for aircraft exhaust pollution diffusion as described in any one of claims 1 to 4 comprises: A capture module, used to capture the changes of the aircraft's flight trajectory in real time using a preset mobile point source model, and dynamically determine the spatial position of the target emission source and the emission intensity of the target pollutant component according to the changes of the aircraft's flight trajectory; A simulation module, for combining the preset mobile point source model with the flight data of the quick access recorder QAR based on the location of the target emission source and the emission intensity of the target pollutant component to generate dynamic flight data of the aircraft, and simulating the aircraft emission diffusion distribution law according to the dynamic flight data of the aircraft to generate a simulated aircraft emission diffusion distribution law; A generation module is used to use an optimized three-dimensional Euler-Lagrangian combined algorithm, based on the simulated aircraft emission diffusion distribution law, to use the flight data and meteorological data of the quick access recorder QAR to process the flight emission data of the aircraft to generate the exhaust pollution diffusion treatment result of the aircraft, wherein the use of the flight data and meteorological data of the quick access recorder QAR to process the flight emission data of the aircraft to generate the exhaust pollution diffusion treatment result of the aircraft includes: inputting at least one meteorological data of wind speed, wind direction, temperature and humidity, the flight data of the quick access recorder QAR and the mobile emission source data of the aircraft into a pre-constructed atmospheric diffusion model to generate target data, and calculating at least one influencing factor of diffusion coefficient, turbulence intensity and mixing height according to the target data; based on the at least one influencing factor, calculating the spatiotemporal distribution of pollutants, and determining the exhaust pollution diffusion treatment result of the aircraft according to the spatiotemporal distribution of the pollutants.

6. The mobile point source emission device for aircraft exhaust pollution diffusion according to claim 5 is characterized in that: Also includes: an acquisition module, used for acquiring at least one parameter of the aircraft's speed, horizontal angle, climb angle, direction, start time and end time before using the preset moving point source model to capture the change of the aircraft's flight trajectory in real time; A construction module is used to construct the preset moving point source model according to the at least one parameter.

7. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the mobile point source emission method for the diffusion of aircraft exhaust pollution as described in any one of claims 1 to 4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the mobile point source emission method for aircraft exhaust pollution diffusion as described in any one of claims 1 to 4.

9. A computer program product, comprising a computer program, characterized in that The computer program is executed to implement the mobile point source emission method for aircraft exhaust pollution diffusion as described in any one of claims 1-4.

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