CN117391910A - Airport air quality dynamic characterization method and system - Google Patents
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Abstract
The invention relates to the technical field of air quality prediction, and discloses a dynamic characterization method and a dynamic characterization system of air quality of an airport, which are used for acquiring historical environment information and historical air quality information of an airport area within a preset time period and respectively establishing a historical environment information change curve and an air quality information change curve according to the historical environment information and the historical air quality information; determining environmental-air quality influencing factors according to the historical environmental information change curve and the air quality information change curve; obtaining an air quality predicted value of the airport area based on the environmental-air quality influencing factors; the air quality prediction method and the air quality prediction system set the target air quality prediction time interval of the airport area according to the air quality prediction value and the air quality threshold value, predict the air quality according to the environmental information of the airport area, ensure the air quality prediction accuracy of the airport area, provide reliable data support for airport staff and passengers to take protective measures, and further reduce the invasion of air pollutants to bodies.
Description
Technical Field
The invention relates to the technical field of air quality prediction, in particular to a dynamic characterization method and a dynamic characterization system for air quality of an airport.
Background
Most areas currently only provide urban-level air quality index predictions and cannot be accurate to airports. For passengers at an airport, accurate and reasonable air quality prediction is helpful for the passengers to take corresponding protective measures, so that the damage of air pollutants to bodies is reduced, and the overall health level of the society is improved.
The current air quality prediction mode mainly comprises an air quality prediction model, wherein the existing air quality prediction model does not have a function of acquiring data of an airport area in the working process, and the air environment is affected by climate and environment, so that a prediction result is not accurate enough, and accurate prediction of air quality of the airport cannot be realized.
Therefore, how to provide a method and a system for dynamically characterizing air quality of an airport is a technical problem to be solved at present.
Disclosure of Invention
The embodiment of the invention provides a dynamic characterization method and a dynamic characterization system for air quality of an airport, which are used for solving the technical problems that the air quality cannot be predicted according to the real-time condition of the airport in the prior art, and the air quality prediction accuracy of the airport cannot be improved.
To achieve the above object, the present invention provides a dynamic characterization method of air quality in an airport, the method comprising:
Acquiring historical environment information of an airport area within a preset time period, acquiring historical air quality information corresponding to the historical environment information, and respectively establishing a historical environment information change curve and an air quality information change curve according to the historical environment information and the historical air quality information;
determining environmental-air quality influencing factors of the airport area according to the historical environmental information change curve and the air quality information change curve;
predicting the air quality of the airport area based on the environment-air quality influencing factors, and obtaining an air quality predicted value of the airport area;
and setting a target air quality prediction time interval of the airport area according to the relation between the air quality predicted value and the air quality threshold value.
In one embodiment, when determining the environmental-air quality impact of the airport area based on the historical environmental information profile and the air quality information profile, the method comprises:
according to the historical environmental information of the airport area, establishing a historical environmental information change curve of different time periods;
according to the air quality information of the airport area, establishing historical air quality change curves of different time periods;
Acquiring an air quality threshold value of the airport area, marking the air quality threshold value in the historical air quality change curve according to the air quality threshold value, and determining a standard point of the historical air quality change curve;
determining a historical environment type corresponding to a residual point in the historical air quality change curve;
calculating a point difference between a remaining point of the historical air quality change curve and the standard point;
the historical environment type and the point difference value are used as environment-air quality influencing factors of the airport area.
In one embodiment, when predicting the air quality of the airport area based on the environmental-air quality influencing factors and obtaining the air quality predicted value of the airport area, the method comprises:
acquiring a current environment type of the airport area, and matching the current environment type with the historical environment type;
calculating an air quality prediction value of the airport area based on the matching result;
calculating an air quality prediction value for the airport area according to the following formula:
；
wherein P is airportAir quality predictive value of area, m is air quality threshold of airport area, n is environment type number of current environment type and history environment type matching, w x Weight of the type of environment matched to the x-th one, d x The point difference between the remaining point corresponding to the xth matched environment type and the standard point.
In one embodiment, when setting the target air quality prediction time interval for the airport area according to the relationship between the air quality prediction value and the air quality threshold value, the method includes:
determining whether the air quality prediction value is less than the air quality threshold value,
if yes, calculating an air quality difference A between the air quality threshold value and the air quality predicted value;
setting an initial air quality prediction time interval of the airport area according to the air quality difference A;
presetting an air quality difference matrix B, and setting B (B1, B2, B3 and B4), wherein B1 is a first preset air quality difference, B2 is a second preset air quality difference, B3 is a third preset air quality difference, B4 is a fourth preset air quality difference, and B1 is more than B2 and less than B3 and less than B4;
presetting an initial air quality prediction time interval matrix C of an airport area, and setting C (C1, C2, C3, C4 and C5), wherein C1 is a first preset initial air quality prediction time interval, C2 is a second preset initial air quality prediction time interval, C3 is a third preset initial air quality prediction time interval, C4 is a fourth preset initial air quality prediction time interval, C5 is a fifth preset initial air quality prediction time interval, and C1 is more than C2 and less than C3 and less than C4 and less than C5;
Setting an air quality prediction time interval of the airport area according to the relation between the air quality difference A and each preset air quality difference:
when A < B1, selecting the first preset initial air quality prediction time interval C1 as an initial air quality prediction time interval of the airport area;
when B1 is less than or equal to A < B2, selecting the second preset initial air quality prediction time interval C2 as the initial air quality prediction time interval of the airport area;
when B2 is less than or equal to A < B3, selecting the third preset initial air quality prediction time interval C3 as the initial air quality prediction time interval of the airport area;
when B3 is less than or equal to A < B4, selecting the fourth preset initial air quality prediction time interval C4 as the initial air quality prediction time interval of the airport area;
and when B4 is less than or equal to A, selecting the fifth preset initial air quality prediction time interval C5 as the initial air quality prediction time interval of the airport area.
In one embodiment, after setting the initial air quality prediction time interval of the airport area according to the air quality difference a, the method further comprises:
acquiring real-time air environment data of the airport area, and calculating an air environment influence factor of the airport area according to the real-time air environment data;
Calculating an air environment impact factor for the airport area according to the formula:
；
wherein L is an air environment influence factor of an airport area, q is the quantity of real-time air environment data, and K y Is the value of the y-th real-time air environment data, U y Weights for the y-th real-time air environment data;
correcting the initial air quality prediction time interval of the airport area according to the air environment influence factor, and obtaining a target air quality prediction time interval of the airport area;
presetting an air environment influence factor matrix G, and setting G (G1, G2, G3 and G4), wherein G1 is a first preset air environment influence factor, G2 is a second preset air environment influence factor, G3 is a third preset air environment influence factor, G4 is a fourth preset air environment influence factor, and G1 is more than G2 and less than G3 and less than G4;
presetting an initial air quality prediction time interval correction coefficient matrix h of an airport area, setting h (h 1, h2, h3, h4 and h 5), wherein h1 is a first preset initial air quality prediction time interval correction coefficient, h2 is a second preset initial air quality prediction time interval correction coefficient, h3 is a third preset initial air quality prediction time interval correction coefficient, h4 is a fourth preset initial air quality prediction time interval correction coefficient, h5 is a fifth preset initial air quality prediction time interval correction coefficient, and h1 is more than 0.8 and less than h2 is more than 3 and less than h4 and less than h5 is less than 1.2;
When the initial air quality prediction time interval of the airport area is set as the i-th preset initial air quality prediction time interval Ci, i=1, 2,3,4,5, and the initial air quality prediction time interval of the airport area is corrected according to the relation between the air environment influence factor L and each preset air environment influence factor:
when L is smaller than G1, selecting the fifth preset initial air quality prediction time interval correction coefficient h5 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h5;
when G1 is less than or equal to L and less than G2, selecting the fourth preset initial air quality prediction time interval correction coefficient h4 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h4;
when G2 is less than or equal to L and less than G3, selecting the third preset initial air quality prediction time interval correction coefficient h3 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h3;
When G3 is less than or equal to L and less than G4, selecting the second preset initial air quality prediction time interval correction coefficient h2 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h2;
when G4 is less than or equal to L, the first preset initial air quality prediction time interval correction coefficient h1 is selected to correct the ith preset initial air quality prediction time interval Ci, and the corrected initial air quality prediction time interval of the airport area is Ci x h1.
To achieve the above object, the present invention provides an airport air quality dynamic characterization system, comprising:
the building module is used for obtaining historical environment information of an airport area in a preset time period, obtaining historical air quality information corresponding to the historical environment information, and building a historical environment information change curve and an air quality information change curve according to the historical environment information and the historical air quality information respectively;
a determining module for determining an environmental-air quality impact of the airport area based on the historical environmental information profile and the air quality information profile;
The prediction module is used for predicting the air quality of the airport area based on the environment-air quality influence factors and obtaining an air quality predicted value of the airport area;
and the setting module is used for setting a target air quality prediction time interval of the airport area according to the relation between the air quality predicted value and the air quality threshold value.
In one embodiment, the determining module is specifically configured to:
the determining module is used for establishing historical environment information change curves of different time periods according to the historical environment information of the airport area;
the determining module is used for establishing historical air quality change curves of different time periods according to the air quality information of the airport area;
the determining module is used for acquiring an air quality threshold value of the airport area, marking the historical air quality change curve according to the air quality threshold value, and determining a standard point of the historical air quality change curve;
the determining module is used for determining a historical environment type corresponding to the residual point in the historical air quality change curve;
the determining module is used for calculating a point difference value between the residual point of the historical air quality change curve and the standard point;
The determination module is configured to take the historical environmental type and the point difference as environmental-air quality impact factors for the airport area.
In one embodiment, the prediction module is specifically configured to:
the prediction module is used for acquiring the current environment type of the airport area and matching the current environment type with the historical environment type;
the prediction module is used for calculating an air quality predicted value of the airport area based on a matching result;
the prediction module is used for calculating an air quality predicted value of the airport area according to the following formula:
；
wherein P is an air quality predicted value of an airport area, m is an air quality threshold of the airport area, n is the number of environment types of which the current environment type is matched with the historical environment type, and w x Weight of the type of environment matched to the x-th one, d x The point difference between the remaining point corresponding to the xth matched environment type and the standard point.
In one embodiment, the setting module is specifically configured to:
the setting module is used for judging whether the air quality predicted value is smaller than the air quality threshold value,
if yes, calculating an air quality difference A between the air quality threshold value and the air quality predicted value;
The setting module is used for setting an initial air quality prediction time interval of the airport area according to the air quality difference A;
the setting module is used for presetting an air quality difference matrix B and setting B (B1, B2, B3 and B4), wherein B1 is a first preset air quality difference, B2 is a second preset air quality difference, B3 is a third preset air quality difference, B4 is a fourth preset air quality difference, and B1 is more than B2 and less than B3 and less than B4;
the setting module is used for presetting an initial air quality prediction time interval matrix C of an airport area, setting C (C1, C2, C3, C4 and C5), wherein C1 is a first preset initial air quality prediction time interval, C2 is a second preset initial air quality prediction time interval, C3 is a third preset initial air quality prediction time interval, C4 is a fourth preset initial air quality prediction time interval, C5 is a fifth preset initial air quality prediction time interval, and C1 is more than C2 and less than C3 and less than C4 and less than C5;
the setting module is used for setting the air quality prediction time interval of the airport area according to the relation between the air quality difference A and each preset air quality difference:
when A < B1, selecting the first preset initial air quality prediction time interval C1 as an initial air quality prediction time interval of the airport area;
When B1 is less than or equal to A < B2, selecting the second preset initial air quality prediction time interval C2 as the initial air quality prediction time interval of the airport area;
when B2 is less than or equal to A < B3, selecting the third preset initial air quality prediction time interval C3 as the initial air quality prediction time interval of the airport area;
when B3 is less than or equal to A < B4, selecting the fourth preset initial air quality prediction time interval C4 as the initial air quality prediction time interval of the airport area;
and when B4 is less than or equal to A, selecting the fifth preset initial air quality prediction time interval C5 as the initial air quality prediction time interval of the airport area.
In one embodiment, the setting module is specifically configured to:
the setting module is used for acquiring real-time air environment data of the airport area and calculating air environment influence factors of the airport area according to the real-time air environment data;
the setting module is used for calculating an air environment influence factor of the airport area according to the following formula:
；
wherein L is an air environment influence factor of an airport area, q is the quantity of real-time air environment data, and K y Is the value of the y-th real-time air environment data, U y Weights for the y-th real-time air environment data;
the setting module is used for correcting the initial air quality prediction time interval of the airport area according to the air environment influence factor and obtaining a target air quality prediction time interval of the airport area;
the setting module is used for presetting an air environment influence factor matrix G and setting G (G1, G2, G3 and G4), wherein G1 is a first preset air environment influence factor, G2 is a second preset air environment influence factor, G3 is a third preset air environment influence factor, G4 is a fourth preset air environment influence factor, and G1 is more than G2 and less than G3 and less than G4;
the setting module is used for presetting an initial air quality prediction time interval correction coefficient matrix h of an airport area, setting h (h 1, h2, h3, h4 and h 5), wherein h1 is a first preset initial air quality prediction time interval correction coefficient, h2 is a second preset initial air quality prediction time interval correction coefficient, h3 is a third preset initial air quality prediction time interval correction coefficient, h4 is a fourth preset initial air quality prediction time interval correction coefficient, h5 is a fifth preset initial air quality prediction time interval correction coefficient, and h1 is more than 0.8 and less than h2 and less than h4 and less than h5 and less than 1.2;
The setting module is configured to, when setting the initial air quality prediction time interval of the airport area as an i-th preset initial air quality prediction time interval Ci, correct the initial air quality prediction time interval of the airport area according to a relationship between the air environment influence factor L and each preset air environment influence factor, where i=1, 2,3,4, 5:
when L is smaller than G1, selecting the fifth preset initial air quality prediction time interval correction coefficient h5 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h5;
when G1 is less than or equal to L and less than G2, selecting the fourth preset initial air quality prediction time interval correction coefficient h4 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h4;
when G2 is less than or equal to L and less than G3, selecting the third preset initial air quality prediction time interval correction coefficient h3 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h3;
When G3 is less than or equal to L and less than G4, selecting the second preset initial air quality prediction time interval correction coefficient h2 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h2;
when G4 is less than or equal to L, the first preset initial air quality prediction time interval correction coefficient h1 is selected to correct the ith preset initial air quality prediction time interval Ci, and the corrected initial air quality prediction time interval of the airport area is Ci x h1.
The invention provides a dynamic representation method and a dynamic representation system for airport air quality, which have the following beneficial effects compared with the prior art:
the invention discloses a dynamic characterization method and a dynamic characterization system for airport air quality, which are used for acquiring historical environment information and historical air quality information of an airport area in a preset time period, and respectively establishing a historical environment information change curve and an air quality information change curve according to the historical environment information and the historical air quality information; determining environmental-air quality influencing factors according to the historical environmental information change curve and the air quality information change curve; obtaining an air quality predicted value of the airport area based on the environmental-air quality influencing factors; the air quality prediction method and the air quality prediction system set the target air quality prediction time interval of the airport area according to the air quality prediction value and the air quality threshold value, predict the air quality according to the environmental information of the airport area, ensure the air quality prediction accuracy of the airport area, provide reliable data support for airport staff and passengers to take protective measures, and further reduce the invasion of air pollutants to bodies.
Drawings
FIG. 1 shows a schematic flow chart of an airport air quality dynamic characterization method in an embodiment of the invention;
FIG. 2 shows a schematic structural diagram of an airport air quality dynamic characterization system in an embodiment of the invention.
Detailed Description
The following describes in further detail the embodiments of the present invention with reference to the drawings and examples. The following examples are illustrative of the invention and are not intended to limit the scope of the invention.
In the description of the present application, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate description of the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present application.
The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
The following is a description of preferred embodiments of the invention, taken in conjunction with the accompanying drawings.
As shown in fig. 1, an embodiment of the present invention discloses a dynamic characterization method for air quality of an airport, the method comprising:
s110: acquiring historical environment information of an airport area within a preset time period, acquiring historical air quality information corresponding to the historical environment information, and respectively establishing a historical environment information change curve and an air quality information change curve according to the historical environment information and the historical air quality information;
in this embodiment, the preset time period may be set according to actual situations, such as one day, two days, and the like.
S120: determining environmental-air quality influencing factors of the airport area according to the historical environmental information change curve and the air quality information change curve;
in some embodiments of the present application, when determining the environmental-air quality impact of the airport area from the historical environmental information profile and air quality information profile, the method comprises:
according to the historical environmental information of the airport area, establishing a historical environmental information change curve of different time periods;
according to the air quality information of the airport area, establishing historical air quality change curves of different time periods;
acquiring an air quality threshold value of the airport area, marking the air quality threshold value in the historical air quality change curve according to the air quality threshold value, and determining a standard point of the historical air quality change curve;
determining a historical environment type corresponding to a residual point in the historical air quality change curve;
calculating a point difference between a remaining point of the historical air quality change curve and the standard point;
the historical environment type and the point difference value are used as environment-air quality influencing factors of the airport area.
In this embodiment, the environmental information includes air temperature, air pressure, relative humidity, precipitation, evaporation, wind direction and speed, sunlight, and the like.
In this embodiment, since the air quality threshold is different for each region, the air quality threshold may be set in conjunction with daily data for the airport region.
In this embodiment, the mark points generated in the historical air quality change curve are determined as standard points.
The beneficial effects of the technical scheme are as follows: the invention takes the historical environment type and the point difference value as the environment-air quality influence factors of the airport area, and can lay a foundation for the prediction of the air quality of the airport area.
S130: predicting the air quality of the airport area based on the environment-air quality influencing factors, and obtaining an air quality predicted value of the airport area;
in some embodiments of the present application, when predicting the air quality of the airport area based on the environmental-air quality impact factor and obtaining an air quality prediction value for the airport area, the method includes:
acquiring a current environment type of the airport area, and matching the current environment type with the historical environment type;
Calculating an air quality prediction value of the airport area based on the matching result;
calculating an air quality prediction value for the airport area according to the following formula:
；
wherein P is an air quality predicted value of an airport area, m is an air quality threshold of the airport area, n is the number of environment types of which the current environment type is matched with the historical environment type, and w x Weight of the type of environment matched to the x-th one, d x The point difference between the remaining point corresponding to the xth matched environment type and the standard point.
In this embodiment, determining whether the current environment type matches the historical environment type refers to determining whether the above-mentioned air temperature, air pressure, relative humidity, precipitation, evaporation, wind direction, wind speed, sun shine, etc. match.
The beneficial effects of the technical scheme are as follows: according to the method, the air quality of the airport area is predicted based on the environmental-air quality influence factors, the air quality prediction value of the airport area is obtained, the air quality prediction accuracy of the airport area is improved, reliable data support is provided for airport staff and passengers to take protective measures, and further the invasion of air pollutants to bodies is reduced.
S140: and setting a target air quality prediction time interval of the airport area according to the relation between the air quality predicted value and the air quality threshold value.
In some embodiments of the present application, when setting the target air quality prediction time interval for the airport area according to the relationship between the air quality prediction value and the air quality threshold value, the method includes:
determining whether the air quality prediction value is less than the air quality threshold value,
if yes, calculating an air quality difference A between the air quality threshold value and the air quality predicted value;
setting an initial air quality prediction time interval of the airport area according to the air quality difference A;
presetting an air quality difference matrix B, and setting B (B1, B2, B3 and B4), wherein B1 is a first preset air quality difference, B2 is a second preset air quality difference, B3 is a third preset air quality difference, B4 is a fourth preset air quality difference, and B1 is more than B2 and less than B3 and less than B4;
presetting an initial air quality prediction time interval matrix C of an airport area, and setting C (C1, C2, C3, C4 and C5), wherein C1 is a first preset initial air quality prediction time interval, C2 is a second preset initial air quality prediction time interval, C3 is a third preset initial air quality prediction time interval, C4 is a fourth preset initial air quality prediction time interval, C5 is a fifth preset initial air quality prediction time interval, and C1 is more than C2 and less than C3 and less than C4 and less than C5;
Setting an air quality prediction time interval of the airport area according to the relation between the air quality difference A and each preset air quality difference:
when A < B1, selecting the first preset initial air quality prediction time interval C1 as an initial air quality prediction time interval of the airport area;
when B1 is less than or equal to A < B2, selecting the second preset initial air quality prediction time interval C2 as the initial air quality prediction time interval of the airport area;
when B2 is less than or equal to A < B3, selecting the third preset initial air quality prediction time interval C3 as the initial air quality prediction time interval of the airport area;
when B3 is less than or equal to A < B4, selecting the fourth preset initial air quality prediction time interval C4 as the initial air quality prediction time interval of the airport area;
and when B4 is less than or equal to A, selecting the fifth preset initial air quality prediction time interval C5 as the initial air quality prediction time interval of the airport area.
The beneficial effects of the technical scheme are as follows: according to the method, the air quality prediction time interval of the airport area is set according to the relation between the air quality difference A and each preset air quality difference, when the air quality of the airport area is good, repeated prediction is not needed for many times, and the phenomenon of repeated prediction can be avoided and the workload is reduced by setting the air quality prediction time interval of the airport area.
In some embodiments of the present application, after setting the initial air quality prediction time interval for the airport area according to the air quality difference a, further comprising:
acquiring real-time air environment data of the airport area, and calculating an air environment influence factor of the airport area according to the real-time air environment data;
calculating an air environment impact factor for the airport area according to the formula:
；
wherein L is an air environment influence factor of an airport area, q is the quantity of real-time air environment data, and K y Is the value of the y-th real-time air environment data, U y Weights for the y-th real-time air environment data;
correcting the initial air quality prediction time interval of the airport area according to the air environment influence factor, and obtaining a target air quality prediction time interval of the airport area;
presetting an air environment influence factor matrix G, and setting G (G1, G2, G3 and G4), wherein G1 is a first preset air environment influence factor, G2 is a second preset air environment influence factor, G3 is a third preset air environment influence factor, G4 is a fourth preset air environment influence factor, and G1 is more than G2 and less than G3 and less than G4;
Presetting an initial air quality prediction time interval correction coefficient matrix h of an airport area, setting h (h 1, h2, h3, h4 and h 5), wherein h1 is a first preset initial air quality prediction time interval correction coefficient, h2 is a second preset initial air quality prediction time interval correction coefficient, h3 is a third preset initial air quality prediction time interval correction coefficient, h4 is a fourth preset initial air quality prediction time interval correction coefficient, h5 is a fifth preset initial air quality prediction time interval correction coefficient, and h1 is more than 0.8 and less than h2 is more than 3 and less than h4 and less than h5 is less than 1.2;
when the initial air quality prediction time interval of the airport area is set as the i-th preset initial air quality prediction time interval Ci, i=1, 2,3,4,5, and the initial air quality prediction time interval of the airport area is corrected according to the relation between the air environment influence factor L and each preset air environment influence factor:
when L is smaller than G1, selecting the fifth preset initial air quality prediction time interval correction coefficient h5 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h5;
When G1 is less than or equal to L and less than G2, selecting the fourth preset initial air quality prediction time interval correction coefficient h4 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h4;
when G2 is less than or equal to L and less than G3, selecting the third preset initial air quality prediction time interval correction coefficient h3 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h3;
when G3 is less than or equal to L and less than G4, selecting the second preset initial air quality prediction time interval correction coefficient h2 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h2;
when G4 is less than or equal to L, the first preset initial air quality prediction time interval correction coefficient h1 is selected to correct the ith preset initial air quality prediction time interval Ci, and the corrected initial air quality prediction time interval of the airport area is Ci x h1.
In this embodiment, the real-time air environment data refers to data such as sulfur dioxide, nitrogen dioxide, carbon monoxide, ozone, fine particulate matter, and inhalable particulate matter concentration.
The beneficial effects of the technical scheme are as follows: when the initial air quality prediction time interval of the airport area is set as an i-th preset initial air quality prediction time interval Ci, i=1, 2,3,4 and 5, and the initial air quality prediction time interval of the airport area is corrected according to the relation between the air environment influence factor L and each preset air environment influence factor.
In order to further explain the technical idea of the invention, the technical scheme of the invention is described with specific application scenarios.
Correspondingly, as shown in fig. 2, the application further provides an airport air quality dynamic characterization system, which comprises:
the building module is used for obtaining historical environment information of an airport area in a preset time period, obtaining historical air quality information corresponding to the historical environment information, and building a historical environment information change curve and an air quality information change curve according to the historical environment information and the historical air quality information respectively;
A determining module for determining an environmental-air quality impact of the airport area based on the historical environmental information profile and the air quality information profile;
the prediction module is used for predicting the air quality of the airport area based on the environment-air quality influence factors and obtaining an air quality predicted value of the airport area;
and the setting module is used for setting a target air quality prediction time interval of the airport area according to the relation between the air quality predicted value and the air quality threshold value.
In some embodiments of the present application, the determining module is specifically configured to:
the determining module is used for establishing historical environment information change curves of different time periods according to the historical environment information of the airport area;
the determining module is used for establishing historical air quality change curves of different time periods according to the air quality information of the airport area;
the determining module is used for acquiring an air quality threshold value of the airport area, marking the historical air quality change curve according to the air quality threshold value, and determining a standard point of the historical air quality change curve;
The determining module is used for determining a historical environment type corresponding to the residual point in the historical air quality change curve;
the determining module is used for calculating a point difference value between the residual point of the historical air quality change curve and the standard point;
the determination module is configured to take the historical environmental type and the point difference as environmental-air quality impact factors for the airport area.
In some embodiments of the present application, the prediction module is specifically configured to:
the prediction module is used for acquiring the current environment type of the airport area and matching the current environment type with the historical environment type;
the prediction module is used for calculating an air quality predicted value of the airport area based on a matching result;
the prediction module is used for calculating an air quality predicted value of the airport area according to the following formula:
；
wherein P is an air quality predicted value of an airport area, m is an air quality threshold of the airport area, n is the number of environment types of which the current environment type is matched with the historical environment type, and w x Weight of the type of environment matched to the x-th one, d x The point difference between the remaining point corresponding to the xth matched environment type and the standard point.
In some embodiments of the present application, the setting module is specifically configured to:
the setting module is used for judging whether the air quality predicted value is smaller than the air quality threshold value,
if yes, calculating an air quality difference A between the air quality threshold value and the air quality predicted value;
the setting module is used for setting an initial air quality prediction time interval of the airport area according to the air quality difference A;
the setting module is used for presetting an air quality difference matrix B and setting B (B1, B2, B3 and B4), wherein B1 is a first preset air quality difference, B2 is a second preset air quality difference, B3 is a third preset air quality difference, B4 is a fourth preset air quality difference, and B1 is more than B2 and less than B3 and less than B4;
the setting module is used for presetting an initial air quality prediction time interval matrix C of an airport area, setting C (C1, C2, C3, C4 and C5), wherein C1 is a first preset initial air quality prediction time interval, C2 is a second preset initial air quality prediction time interval, C3 is a third preset initial air quality prediction time interval, C4 is a fourth preset initial air quality prediction time interval, C5 is a fifth preset initial air quality prediction time interval, and C1 is more than C2 and less than C3 and less than C4 and less than C5;
The setting module is used for setting the air quality prediction time interval of the airport area according to the relation between the air quality difference A and each preset air quality difference:
when A < B1, selecting the first preset initial air quality prediction time interval C1 as an initial air quality prediction time interval of the airport area;
when B1 is less than or equal to A < B2, selecting the second preset initial air quality prediction time interval C2 as the initial air quality prediction time interval of the airport area;
when B2 is less than or equal to A < B3, selecting the third preset initial air quality prediction time interval C3 as the initial air quality prediction time interval of the airport area;
when B3 is less than or equal to A < B4, selecting the fourth preset initial air quality prediction time interval C4 as the initial air quality prediction time interval of the airport area;
and when B4 is less than or equal to A, selecting the fifth preset initial air quality prediction time interval C5 as the initial air quality prediction time interval of the airport area.
In some embodiments of the present application, the setting module is specifically configured to:
the setting module is used for acquiring real-time air environment data of the airport area and calculating air environment influence factors of the airport area according to the real-time air environment data;
The setting module is used for calculating an air environment influence factor of the airport area according to the following formula:
；
wherein L is an air environment influence factor of an airport area, q is the quantity of real-time air environment data, and K y Is the value of the y-th real-time air environment data, U y Weights for the y-th real-time air environment data;
the setting module is used for correcting the initial air quality prediction time interval of the airport area according to the air environment influence factor and obtaining a target air quality prediction time interval of the airport area;
the setting module is used for presetting an air environment influence factor matrix G and setting G (G1, G2, G3 and G4), wherein G1 is a first preset air environment influence factor, G2 is a second preset air environment influence factor, G3 is a third preset air environment influence factor, G4 is a fourth preset air environment influence factor, and G1 is more than G2 and less than G3 and less than G4;
the setting module is used for presetting an initial air quality prediction time interval correction coefficient matrix h of an airport area, setting h (h 1, h2, h3, h4 and h 5), wherein h1 is a first preset initial air quality prediction time interval correction coefficient, h2 is a second preset initial air quality prediction time interval correction coefficient, h3 is a third preset initial air quality prediction time interval correction coefficient, h4 is a fourth preset initial air quality prediction time interval correction coefficient, h5 is a fifth preset initial air quality prediction time interval correction coefficient, and h1 is more than 0.8 and less than h2 and less than h4 and less than h5 and less than 1.2;
The setting module is configured to, when setting the initial air quality prediction time interval of the airport area as an i-th preset initial air quality prediction time interval Ci, correct the initial air quality prediction time interval of the airport area according to a relationship between the air environment influence factor L and each preset air environment influence factor, where i=1, 2,3,4, 5:
when L is smaller than G1, selecting the fifth preset initial air quality prediction time interval correction coefficient h5 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h5;
when G1 is less than or equal to L and less than G2, selecting the fourth preset initial air quality prediction time interval correction coefficient h4 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h4;
when G2 is less than or equal to L and less than G3, selecting the third preset initial air quality prediction time interval correction coefficient h3 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h3;
When G3 is less than or equal to L and less than G4, selecting the second preset initial air quality prediction time interval correction coefficient h2 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h2;
when G4 is less than or equal to L, the first preset initial air quality prediction time interval correction coefficient h1 is selected to correct the ith preset initial air quality prediction time interval Ci, and the corrected initial air quality prediction time interval of the airport area is Ci x h1.
In the description of the above embodiments, particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
Although the invention has been described hereinabove with reference to embodiments, various modifications thereof may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the features of the disclosed embodiments may be combined with each other in any manner as long as there is no structural conflict, and the entire description of these combinations is not made in the present specification merely for the sake of omitting the descriptions and saving resources. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Those of ordinary skill in the art will appreciate that: the above is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that the present invention is described in detail with reference to the foregoing embodiments, and modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for dynamically characterizing air quality in an airport, the method comprising:
acquiring historical environment information of an airport area within a preset time period, acquiring historical air quality information corresponding to the historical environment information, and respectively establishing a historical environment information change curve and an air quality information change curve according to the historical environment information and the historical air quality information;
determining environmental-air quality influencing factors of the airport area according to the historical environmental information change curve and the air quality information change curve;
predicting the air quality of the airport area based on the environment-air quality influencing factors, and obtaining an air quality predicted value of the airport area;
And setting a target air quality prediction time interval of the airport area according to the relation between the air quality predicted value and the air quality threshold value.
2. The method of dynamic characterization of air quality at an airport of claim 1, wherein determining environmental-air quality impact factors at the airport area from the historical environmental information profile and air quality information profile comprises:
according to the historical environmental information of the airport area, establishing a historical environmental information change curve of different time periods;
according to the air quality information of the airport area, establishing historical air quality change curves of different time periods;
acquiring an air quality threshold value of the airport area, marking the air quality threshold value in the historical air quality change curve according to the air quality threshold value, and determining a standard point of the historical air quality change curve;
determining a historical environment type corresponding to a residual point in the historical air quality change curve;
calculating a point difference between a remaining point of the historical air quality change curve and the standard point;
the historical environment type and the point difference value are used as environment-air quality influencing factors of the airport area.
3. The method for dynamically characterizing air quality at an airport according to claim 2, wherein when predicting air quality at said airport area based on said environmental-air quality influencing factors and obtaining an air quality prediction value for said airport area, comprising:
acquiring a current environment type of the airport area, and matching the current environment type with the historical environment type;
calculating an air quality prediction value of the airport area based on the matching result;
calculating an air quality prediction value for the airport area according to the following formula:
；
wherein P is an air quality predicted value of an airport area, m is an air quality threshold of the airport area, n is the number of environment types of which the current environment type is matched with the historical environment type, and w x Weight of the type of environment matched to the x-th one, d x The point difference between the remaining point corresponding to the xth matched environment type and the standard point.
4. A method of dynamically characterizing air quality at an airport according to claim 3, wherein, when setting a target air quality prediction time interval for said airport area based on a relationship between said air quality prediction value and an air quality threshold value, comprising:
Determining whether the air quality prediction value is less than the air quality threshold value,
if yes, calculating an air quality difference A between the air quality threshold value and the air quality predicted value;
setting an initial air quality prediction time interval of the airport area according to the air quality difference A;
presetting an air quality difference matrix B, and setting B (B1, B2, B3 and B4), wherein B1 is a first preset air quality difference, B2 is a second preset air quality difference, B3 is a third preset air quality difference, B4 is a fourth preset air quality difference, and B1 is more than B2 and less than B3 and less than B4;
presetting an initial air quality prediction time interval matrix C of an airport area, and setting C (C1, C2, C3, C4 and C5), wherein C1 is a first preset initial air quality prediction time interval, C2 is a second preset initial air quality prediction time interval, C3 is a third preset initial air quality prediction time interval, C4 is a fourth preset initial air quality prediction time interval, C5 is a fifth preset initial air quality prediction time interval, and C1 is more than C2 and less than C3 and less than C4 and less than C5;
setting an air quality prediction time interval of the airport area according to the relation between the air quality difference A and each preset air quality difference:
When A < B1, selecting the first preset initial air quality prediction time interval C1 as an initial air quality prediction time interval of the airport area;
when B1 is less than or equal to A < B2, selecting the second preset initial air quality prediction time interval C2 as the initial air quality prediction time interval of the airport area;
when B2 is less than or equal to A < B3, selecting the third preset initial air quality prediction time interval C3 as the initial air quality prediction time interval of the airport area;
when B3 is less than or equal to A < B4, selecting the fourth preset initial air quality prediction time interval C4 as the initial air quality prediction time interval of the airport area;
and when B4 is less than or equal to A, selecting the fifth preset initial air quality prediction time interval C5 as the initial air quality prediction time interval of the airport area.
5. The method of dynamic characterization of air quality at an airport of claim 4, further comprising, after setting an initial air quality prediction time interval for the airport area based on the air quality difference a:
acquiring real-time air environment data of the airport area, and calculating an air environment influence factor of the airport area according to the real-time air environment data;
Calculating an air environment impact factor for the airport area according to the formula:
；
wherein L is an air environment influence factor of an airport area, q is the quantity of real-time air environment data, and K y Is the value of the y-th real-time air environment data, U y Weights for the y-th real-time air environment data;
correcting the initial air quality prediction time interval of the airport area according to the air environment influence factor, and obtaining a target air quality prediction time interval of the airport area;
presetting an air environment influence factor matrix G, and setting G (G1, G2, G3 and G4), wherein G1 is a first preset air environment influence factor, G2 is a second preset air environment influence factor, G3 is a third preset air environment influence factor, G4 is a fourth preset air environment influence factor, and G1 is more than G2 and less than G3 and less than G4;
presetting an initial air quality prediction time interval correction coefficient matrix h of an airport area, setting h (h 1, h2, h3, h4 and h 5), wherein h1 is a first preset initial air quality prediction time interval correction coefficient, h2 is a second preset initial air quality prediction time interval correction coefficient, h3 is a third preset initial air quality prediction time interval correction coefficient, h4 is a fourth preset initial air quality prediction time interval correction coefficient, h5 is a fifth preset initial air quality prediction time interval correction coefficient, and h1 is more than 0.8 and less than h2 is more than 3 and less than h4 and less than h5 is less than 1.2;
When the initial air quality prediction time interval of the airport area is set as the i-th preset initial air quality prediction time interval Ci, i=1, 2,3,4,5, and the initial air quality prediction time interval of the airport area is corrected according to the relation between the air environment influence factor L and each preset air environment influence factor:
when L is smaller than G1, selecting the fifth preset initial air quality prediction time interval correction coefficient h5 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h5;
when G1 is less than or equal to L and less than G2, selecting the fourth preset initial air quality prediction time interval correction coefficient h4 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h4;
when G2 is less than or equal to L and less than G3, selecting the third preset initial air quality prediction time interval correction coefficient h3 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h3;
When G3 is less than or equal to L and less than G4, selecting the second preset initial air quality prediction time interval correction coefficient h2 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h2;
when G4 is less than or equal to L, the first preset initial air quality prediction time interval correction coefficient h1 is selected to correct the ith preset initial air quality prediction time interval Ci, and the corrected initial air quality prediction time interval of the airport area is Ci x h1.
6. An airport air quality dynamic characterization system, the system comprising:
the building module is used for obtaining historical environment information of an airport area in a preset time period, obtaining historical air quality information corresponding to the historical environment information, and building a historical environment information change curve and an air quality information change curve according to the historical environment information and the historical air quality information respectively;
a determining module for determining an environmental-air quality impact of the airport area based on the historical environmental information profile and the air quality information profile;
The prediction module is used for predicting the air quality of the airport area based on the environment-air quality influence factors and obtaining an air quality predicted value of the airport area;
and the setting module is used for setting a target air quality prediction time interval of the airport area according to the relation between the air quality predicted value and the air quality threshold value.
7. The airport air quality dynamic characterization system of claim 6, wherein the determination module is specifically configured to:
the determining module is used for establishing historical environment information change curves of different time periods according to the historical environment information of the airport area;
the determining module is used for establishing historical air quality change curves of different time periods according to the air quality information of the airport area;
the determining module is used for acquiring an air quality threshold value of the airport area, marking the historical air quality change curve according to the air quality threshold value, and determining a standard point of the historical air quality change curve;
the determining module is used for determining a historical environment type corresponding to the residual point in the historical air quality change curve;
The determining module is used for calculating a point difference value between the residual point of the historical air quality change curve and the standard point;
the determination module is configured to take the historical environmental type and the point difference as environmental-air quality impact factors for the airport area.
8. The airport air quality dynamic characterization system of claim 7, wherein the prediction module is specifically configured to:
the prediction module is used for acquiring the current environment type of the airport area and matching the current environment type with the historical environment type;
the prediction module is used for calculating an air quality predicted value of the airport area based on a matching result;
the prediction module is used for calculating an air quality predicted value of the airport area according to the following formula:
；
wherein P is an air quality predicted value of an airport area, m is an air quality threshold of the airport area, n is the number of environment types of which the current environment type is matched with the historical environment type, and w x Weight of the type of environment matched to the x-th one, d x The point difference between the remaining point corresponding to the xth matched environment type and the standard point.
9. The airport air quality dynamic characterization system of claim 8, wherein the configuration module is specifically configured to:
The setting module is used for judging whether the air quality predicted value is smaller than the air quality threshold value,
if yes, calculating an air quality difference A between the air quality threshold value and the air quality predicted value;
the setting module is used for setting an initial air quality prediction time interval of the airport area according to the air quality difference A;
the setting module is used for presetting an air quality difference matrix B and setting B (B1, B2, B3 and B4), wherein B1 is a first preset air quality difference, B2 is a second preset air quality difference, B3 is a third preset air quality difference, B4 is a fourth preset air quality difference, and B1 is more than B2 and less than B3 and less than B4;
the setting module is used for presetting an initial air quality prediction time interval matrix C of an airport area, setting C (C1, C2, C3, C4 and C5), wherein C1 is a first preset initial air quality prediction time interval, C2 is a second preset initial air quality prediction time interval, C3 is a third preset initial air quality prediction time interval, C4 is a fourth preset initial air quality prediction time interval, C5 is a fifth preset initial air quality prediction time interval, and C1 is more than C2 and less than C3 and less than C4 and less than C5;
The setting module is used for setting the air quality prediction time interval of the airport area according to the relation between the air quality difference A and each preset air quality difference:
when A < B1, selecting the first preset initial air quality prediction time interval C1 as an initial air quality prediction time interval of the airport area;
when B1 is less than or equal to A < B2, selecting the second preset initial air quality prediction time interval C2 as the initial air quality prediction time interval of the airport area;
when B2 is less than or equal to A < B3, selecting the third preset initial air quality prediction time interval C3 as the initial air quality prediction time interval of the airport area;
when B3 is less than or equal to A < B4, selecting the fourth preset initial air quality prediction time interval C4 as the initial air quality prediction time interval of the airport area;
and when B4 is less than or equal to A, selecting the fifth preset initial air quality prediction time interval C5 as the initial air quality prediction time interval of the airport area.
10. The airport air quality dynamic characterization system of claim 9, wherein the configuration module is configured to:
the setting module is used for acquiring real-time air environment data of the airport area and calculating air environment influence factors of the airport area according to the real-time air environment data;
The setting module is used for calculating an air environment influence factor of the airport area according to the following formula:
；
wherein L is an air environment influence factor of an airport area, q is the quantity of real-time air environment data, and K y Is the value of the y-th real-time air environment data, U y Weights for the y-th real-time air environment data;
the setting module is used for correcting the initial air quality prediction time interval of the airport area according to the air environment influence factor and obtaining a target air quality prediction time interval of the airport area;
the setting module is used for presetting an air environment influence factor matrix G and setting G (G1, G2, G3 and G4), wherein G1 is a first preset air environment influence factor, G2 is a second preset air environment influence factor, G3 is a third preset air environment influence factor, G4 is a fourth preset air environment influence factor, and G1 is more than G2 and less than G3 and less than G4;
the setting module is used for presetting an initial air quality prediction time interval correction coefficient matrix h of an airport area, setting h (h 1, h2, h3, h4 and h 5), wherein h1 is a first preset initial air quality prediction time interval correction coefficient, h2 is a second preset initial air quality prediction time interval correction coefficient, h3 is a third preset initial air quality prediction time interval correction coefficient, h4 is a fourth preset initial air quality prediction time interval correction coefficient, h5 is a fifth preset initial air quality prediction time interval correction coefficient, and h1 is more than 0.8 and less than h2 and less than h4 and less than h5 and less than 1.2;
The setting module is configured to, when setting the initial air quality prediction time interval of the airport area as an i-th preset initial air quality prediction time interval Ci, correct the initial air quality prediction time interval of the airport area according to a relationship between the air environment influence factor L and each preset air environment influence factor, where i=1, 2,3,4, 5:
when L is smaller than G1, selecting the fifth preset initial air quality prediction time interval correction coefficient h5 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h5;
when G1 is less than or equal to L and less than G2, selecting the fourth preset initial air quality prediction time interval correction coefficient h4 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h4;
when G2 is less than or equal to L and less than G3, selecting the third preset initial air quality prediction time interval correction coefficient h3 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h3;
When G3 is less than or equal to L and less than G4, selecting the second preset initial air quality prediction time interval correction coefficient h2 to correct the ith preset initial air quality prediction time interval Ci, wherein the corrected initial air quality prediction time interval of the airport area is Ci x h2;
when G4 is less than or equal to L, the first preset initial air quality prediction time interval correction coefficient h1 is selected to correct the ith preset initial air quality prediction time interval Ci, and the corrected initial air quality prediction time interval of the airport area is Ci x h1.
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| US20210342722A1 (en) * | 2020-12-23 | 2021-11-04 | Beijing Baidu Netcom Science And Technology Co., Ltd. | Air quality prediction model training method, air quality prediction method, electronic device and storage medium |
| CN115689125A (en) * | 2022-12-27 | 2023-02-03 | 北京化工大学 | Multi-source data-based wading pollution source layout method |
| CN116611561A (en) * | 2023-05-23 | 2023-08-18 | 南京航空航天大学 | Air quality prediction method and system |
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| US20210342722A1 (en) * | 2020-12-23 | 2021-11-04 | Beijing Baidu Netcom Science And Technology Co., Ltd. | Air quality prediction model training method, air quality prediction method, electronic device and storage medium |
| CN115689125A (en) * | 2022-12-27 | 2023-02-03 | 北京化工大学 | Multi-source data-based wading pollution source layout method |
| CN116611561A (en) * | 2023-05-23 | 2023-08-18 | 南京航空航天大学 | Air quality prediction method and system |
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| 郭飞;谢立勇;: "基于气象因素和改进支持向量机的空气质量指数预测", 环境工程, no. 10, 22 October 2017 (2017-10-22) * |
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