CN113759441B - Air quality tracing method based on wind-rose diagram and pollution source monitoring - Google Patents
Air quality tracing method based on wind-rose diagram and pollution source monitoring Download PDFInfo
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Abstract
The invention discloses an air quality tracing method based on wind rose diagram and pollution source monitoring, which comprises the following steps: the weather station sends the collected air quality index to the server every other first preset time period; the meteorological station sends collected wind direction and wind speed data to the server every other second preset time period, wherein the second preset time period is smaller than the first preset time period; the server is based on the air quality index of each weather station; the invention provides an air quality tracing method based on a wind rose diagram and pollution source monitoring, which monitors whether an air pollution event occurs or not based on an air quality index collected by a weather station, generates a first wind frequency and wind speed rose diagram according to wind direction and wind speed data collected by the weather station when the air pollution event occurs, and can calculate the tracing position of the air pollution source based on the first wind frequency and wind speed rose diagram of the weather station, thereby quickly and accurately finding the pollution source aiming at the air pollution.
Description
Technical Field
The invention relates to the technical field of air quality traceability, in particular to an air quality traceability method based on wind rose diagram and pollution source monitoring.
Background
With the development of industry, air pollution becomes more and more serious, and the treatment of air pollution becomes one of the environmental problems to be solved urgently, at present, the air pollution monitoring is mainly carried out by widely deploying air stations in the area to be monitored, monitoring the change of air quality through the air stations, and when the air stations monitor that the air quality is reduced, preventing and treating measures are taken in time to prevent the air quality from further deteriorating; however, the prior art cannot quickly and accurately find a pollution source for air pollution.
Disclosure of Invention
The invention mainly aims to provide an air quality tracing method based on a wind rose diagram and pollution source monitoring, and aims to solve the problem that the prior art cannot quickly and accurately find a pollution source aiming at air pollution.
The technical scheme provided by the invention is as follows:
an air quality tracing method based on wind rose diagram and pollution source monitoring is applied to an air quality tracing system based on wind rose diagram and pollution source monitoring; the system comprises a server and a plurality of weather stations; the plurality of weather stations are arranged in a monitoring area in a grid-shaped and equidistant manner; a plurality of weather stations are in communication connection with the server; the method comprises the following steps:
the weather station sends the collected air quality index to the server every other first preset time period;
the meteorological station sends collected wind direction and wind speed data to the server every other second preset time period, wherein the second preset time period is smaller than the first preset time period;
the server acquires the meteorological station which detects the air pollution event based on the air quality index of each meteorological station and marks the meteorological station as a target meteorological station;
the server generates a corresponding first wind frequency and wind speed rose diagram based on the wind direction and wind speed data of the target weather station in the past within the first preset time period;
the server determines a source tracing position of an air pollution source based on the first wind frequency and wind speed rose diagram.
Preferably, the server acquires the weather station detecting the air pollution event and marks the weather station as a target weather station based on the air quality index of each weather station, and comprises:
the server subtracts the air quality index acquired at the last acquisition moment from the current air quality index to obtain an index difference value of each meteorological station;
the server generates a preset difference value based on the first preset time period;
the server marks all the index difference values which are larger than the preset difference value as a target set;
the server marks the maximum index difference value in the target set as a target difference value;
and the server marks the weather station corresponding to the target difference value as the target weather station.
Preferably, the calculation formula for the server to generate the preset difference value based on the first preset time period is as follows:
wherein, CyThe preset difference value is obtained; cbThe standard deviation value is a constant larger than 0 and is determined according to the annual average air quality index of the area to be measured; t is1The first preset time period is set; t isbIs a standard time length and is a constant larger than 0.
Preferably, the server determines the source tracing position of the air pollution source based on the first wind frequency and wind speed rose diagram, and the method comprises the following steps:
the server calculates a total wind movement vector of a first preset time period in the past based on the first wind frequency and wind speed rose diagram:
wherein the content of the first and second substances,
the total wind power movement vector of a first preset time period in the past is obtained; the first wind frequency and wind speed rose diagram takes an east-west direction as an X axis and a south-north direction as a Y axis, the first wind frequency and wind speed rose diagram comprises N wind direction vectors in different directions, each wind direction vector corresponds to a frequency value, each wind direction vector also corresponds to an average wind speed value,
representing the ith said wind direction vector modulo the corresponding said frequency value, Fi,vThe average wind speed value corresponding to the ith wind direction vector is obtained;
the server subtracts the total wind movement vector from the geographic coordinates of the target weather station to generate the source-seeking location coordinates of the source of air pollution.
Preferably, the server subtracts the total wind movement vector from the geographic coordinates of the target weather station to generate the source location coordinates of the source of air pollution, and then further comprises:
the server marks the weather station closest to the source tracing position as a first weather station;
the server judges whether the first weather station is the target weather station;
if not, the server generates each sub-wind power motion vector in the past first preset time period based on the first wind frequency and wind speed rose diagram:
wherein the content of the first and second substances,
for the ith sub-wind power motion vector in the past first preset time period, i is greater than 0 and less than or equal to N, and N is the number of wind direction vectors in the first wind frequency and wind speed rose diagram;
the server obtains a wind power movement vector from the source tracing position to the first meteorological station direction based on each sub wind power movement vector in a first preset time period in the past, and marks the wind power movement vector as a first wind power movement vector;
the server judges whether the modulus of the first wind power motion vector is larger than the distance between the source tracing position and the first weather station;
if so, the server judges whether the index difference value of the first meteorological station is greater than the preset difference value;
and if the number of the messages is smaller than the preset value, the server generates the source tracing and doubt information.
Preferably, the system further comprises a drone and a display screen; the server is used for controlling the flight of the unmanned aerial vehicle; the unmanned aerial vehicle has a photographing function; the display screen is in communication connection with the server; the method further comprises the following steps:
the server controls the unmanned aerial vehicle to fly to the source tracing position;
the unmanned aerial vehicle shoots the tracing position to obtain a tracing position image;
the unmanned aerial vehicle sends the source tracing position image to the server;
and the server displays the source tracing position image on the display screen.
Preferably, the unmanned aerial vehicle sends the source tracing position image to the server, and then further includes:
and the server performs image analysis on the source tracing position image to judge whether the source tracing position is the actual position of the air pollution source.
Preferably, the server subtracts the total wind movement vector from the geographic coordinates of the target weather station to generate the source location coordinates of the source of air pollution, and then further comprises:
the server generates a corresponding second wind frequency and wind speed rose diagram based on the wind direction and wind speed data in the first preset time period in the future of the target meteorological station;
the server generates each sub-wind power motion vector in a first preset time period in the future based on the second wind frequency and wind speed rose diagram:
wherein the content of the first and second substances,
for the ith sub-wind power motion vector in a first preset time period in the future, i is greater than 0 and less than or equal to N, and N is the number of wind direction vectors in the second wind frequency and wind speed rose diagram; the second wind frequency and wind speed rose diagram takes the east-west direction as an X axis and the south-north direction as a Y axis, the second wind frequency and wind speed rose diagram comprises N wind direction vectors in different directions, each wind direction vector corresponds to a frequency value, each wind direction vector also corresponds to an average wind speed value,
representing the ith said wind direction vector modulo the corresponding said frequency value, Wi,vThe average wind speed value corresponding to the ith wind direction vector is obtained;
the server obtains a wind power movement vector from the source tracing position to the target meteorological station direction based on each sub wind power movement vector in a first preset time period in the future, and marks the wind power movement vector as a second wind power movement vector;
when the modulus of the second wind power movement vector is larger than the distance between the source tracing position and the target meteorological station, the server judges whether the exponential difference value of the target meteorological station after the first preset time period in the future is a positive number;
if the index difference value after the first preset time period in the future is not a positive number, the server generates a source tracing and doubt backing information;
when the modulus of the second wind power movement vector is smaller than the distance between the source tracing position and the target meteorological station, the server judges whether the exponential difference value of the target meteorological station after the first preset time period in the future is a negative number;
and if the index difference value after the first preset time period is not a negative number in the future, the server generates the source tracing and doubt information.
Preferably, the unmanned aerial vehicle is provided with an air quality detector; the air quality detector can detect the air quality in real time and generate an air quality index in real time; the server subtracts the total wind movement vector from the geographic coordinates of the target weather station to generate the source-tracking location coordinates of the source of air pollution, and thereafter further comprising:
the server judges whether the modulus of the total wind power movement vector is larger than the maximum distance between 2 adjacent meteorological stations;
if so, the server controls the unmanned aerial vehicle to move to the source tracing position by taking the target weather station as an initial position, detects the air quality once every preset distance in the moving process, and generates an air quality index in real time;
the unmanned aerial vehicle sends the air quality index generated in real time and the corresponding detection position to the server;
when the server firstly sets the air quality index generated in real time as a normal value, the position of the detection position corresponding to the unmanned aerial vehicle, which is a reverse preset distance of the advancing direction, is marked as a correction position.
Preferably, the system further comprises an alarm; the alarm is in communication connection with the server; the server subtracts the total wind movement vector from the geographic coordinates of the target weather station to generate the source-tracking location coordinates of the source of air pollution, and thereafter further comprising:
the alarm gives an alarm.
Through above-mentioned technical scheme, can realize following beneficial effect:
the invention provides an air quality tracing method based on a wind rose diagram and pollution source monitoring, which monitors whether an air pollution event occurs or not based on an air quality index collected by a weather station, generates a first wind frequency and wind speed rose diagram according to wind direction and wind speed data collected by the weather station when the air pollution event occurs, and can calculate the tracing position of the air pollution source based on the first wind frequency and wind speed rose diagram of the weather station, thereby quickly and accurately finding the pollution source aiming at the air pollution.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
FIG. 1 is a flow chart of a first embodiment of an air quality tracing method based on wind rose diagram and pollution source monitoring proposed by the present invention;
fig. 2 is an exemplary diagram of a first wind frequency and wind speed rose diagram in a first embodiment of the air quality tracing method based on a wind rose diagram and pollution source monitoring provided by the invention.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides an air quality tracing method based on wind rose diagram and pollution source monitoring.
As shown in fig. 1, in a first embodiment of the air quality traceability method based on wind rose diagram and pollution source monitoring provided by the present invention, the air quality traceability method based on wind rose diagram and pollution source monitoring is applied to an air quality traceability system based on wind rose diagram and pollution source monitoring; the system comprises a server and a plurality of weather stations; the plurality of weather stations are arranged in a monitoring area in a grid-shaped and equidistant manner; a plurality of weather stations are in communication connection with the server; the embodiment comprises the following steps:
step S110: and the meteorological station sends the collected air quality index to the server every other first preset time period.
Specifically, the first preset time period is preferably 1 hour, and the air quality index is AQI.
Step S120: and the meteorological station sends the collected wind direction and wind speed data to the server every second preset time period, wherein the second preset time period is less than the first preset time period.
Specifically, the second preset time period is preferably 1 minute. Namely, the wind power monitoring data of minute level is established through a meteorological station. The wind direction and wind speed data include both the direction of the wind and the average speed of the wind.
Step S130: and the server acquires the weather station detecting the air pollution event based on the air quality index of each weather station and marks the weather station as a target weather station.
Specifically, when the value of the air quality index is greatly increased, that is, when it is stated that an air pollution event occurs at the corresponding weather station, the server marks the weather station as a target weather station, so as to perform subsequent pollution source positioning operation.
Step S140: and the server generates a corresponding first wind frequency and wind speed rose diagram based on the wind direction and wind speed data of the target weather station in the past within the first preset time period.
Specifically, the server generates a first wind frequency and wind speed rose diagram corresponding to the current meteorological station based on the wind direction and wind speed data sent by the target meteorological station within the past 1 hour.
As shown in FIG. 2, a wind rose is used to represent the wind direction, as well as the frequency of the wind direction and the average wind speed of the wind direction. The wind direction frequency is the percentage of the number of occurrences of various wind directions (e.g., 16 wind directions) over a period of time to all observations. According to the occurrence frequency of each direction wind, the direction wind is expressed by corresponding proportional length (namely the radius in a polar coordinate system), the direction wind blows from the outside to the center, the direction wind is drawn on a polar coordinate graph expressed by 8 or 16 directions, then the end points of each adjacent direction are connected by straight lines, a closed broken line in the form of a rose is drawn, and then the average wind speed of each direction wind is marked at the position of each end point, namely a wind frequency and wind speed rose graph.
Step S150: the server determines a source tracing position of an air pollution source based on the first wind frequency and wind speed rose diagram.
Specifically, based on the wind frequency and wind speed rose diagram at the target weather station, the position of the air pollution source can be further calculated, so that the source tracing position of the air pollution source can be determined.
The invention provides an air quality tracing method based on a wind rose diagram and pollution source monitoring, which monitors whether an air pollution event occurs or not based on an air quality index collected by a weather station, generates a first wind frequency and wind speed rose diagram according to wind direction and wind speed data collected by the weather station when the air pollution event occurs, and can calculate the tracing position of the air pollution source based on the first wind frequency and wind speed rose diagram of the weather station, thereby quickly and accurately finding the pollution source aiming at the air pollution.
In a second embodiment of the air quality tracing method based on the wind rose diagram and pollution source monitoring provided by the present invention, based on the first embodiment, step S130 includes the following steps:
step S210: and the server subtracts the air quality index acquired at the last acquisition moment from the current air quality index to obtain the index difference value of each meteorological station.
Specifically, the index difference here can reflect the change of the air quality index at the weather station, and if the index difference is a positive number, it indicates that the air quality is deteriorated, and the larger the index difference is, the worse the air quality is.
Step S220: and the server generates a preset difference value based on the first preset time period.
Specifically, the preset difference is a threshold value of the change of the air quality index at the weather station under normal conditions (when no air pollution event occurs), and in the embodiment, the preset difference is preferably 8.
Step S230: and the server marks all the index difference values which are larger than the preset difference value as a target set.
Specifically, if the index difference is greater than the preset difference, it indicates that an air pollution event occurs at the corresponding weather station, and therefore all index differences greater than the preset difference are marked as a target set.
Step S240: the server marks the largest index difference value in the target set as a target difference value.
Specifically, the largest index difference in the target set indicates the largest increase in the air quality index.
Step S250: and the server marks the weather station corresponding to the target difference value as the target weather station.
Specifically, the degree of air pollution at the corresponding weather station is the most serious, so that the weather station corresponding to the target difference value is directly marked as the target weather station.
In a third embodiment of the air quality tracing method based on the wind-rose diagram and the pollution source monitoring, based on the second embodiment, the calculation formula of the server generating the preset difference value based on the first preset time period is as follows:
wherein, CyThe preset difference value is obtained; cbThe standard deviation value is a constant greater than 0, is determined according to the annual average air quality index of the area to be measured, and is positively correlated with the annual average air quality index of the area to be measured, and is preferably 40 in this embodiment; t is1The first preset time period is 1 hour in the embodiment; t isbThe standard time is a constant greater than 0, and preferably 5 hours in this embodiment.
In a fourth embodiment of the air quality tracing method based on the wind rose diagram and the pollution source monitoring, based on the second embodiment, step S150 includes the following steps:
step S410: the server calculates a total wind movement vector of a first preset time period in the past based on the first wind frequency and wind speed rose diagram:
wherein the content of the first and second substances,
the total wind power movement vector of a first preset time period in the past is obtained; the first wind frequency and wind speed rose diagram takes an east-west direction as an X axis and a north-south direction as a Y axis, the first wind frequency and wind speed rose diagram comprises N wind direction vectors (N is 16 in this embodiment) in different directions, each wind direction vector corresponds to a frequency value, each wind direction vector also corresponds to an average wind speed value, the unit of the average wind speed value is km/h,
representing the ith said wind direction vector modulo the corresponding said frequency value, Fi,vAnd the average wind speed value corresponding to the ith wind direction vector is obtained.
Specifically, the total wind force movement vector in the past 1 hour, that is, the direction and distance to which the wind force blows in the past 1 hour, can be calculated by the above formula.
Step S420: the server subtracts the total wind movement vector from the geographic coordinates of the target weather station to generate the source-seeking location coordinates of the source of air pollution.
Specifically, the coordinates of the air pollution source are added to the total wind movement vector to obtain the position of the target weather station, so that the source-tracing position coordinates of the air pollution source can be generated by subtracting the total wind movement vector from the geographic coordinates of the target weather station.
In a fifth embodiment of the air quality tracing method based on wind rose diagram and pollution source monitoring provided by the present invention, based on the fourth embodiment, step S420 further includes the following steps:
step S510: the server marks the weather station closest to the source tracing position as a first weather station.
Step S520: the server judges whether the first weather station is the target weather station.
Specifically, since the first weather station is the weather station closest to the source tracing location, under normal conditions, the most serious pollution should be the first weather station, i.e., the first weather station should be the target weather station, but if the first weather station is not the target weather station, further verification is required to ensure the accuracy of the source tracing location.
If not, go to step S530: the server generates each sub-wind power motion vector in a first preset time period in the past based on the first wind frequency and wind speed rose diagram:
wherein the content of the first and second substances,
for the ith sub-wind movement vector in the past first preset time period, i is greater than 0 and less than or equal to N, where N is the number of wind vectors in the first wind-frequency wind-speed rose diagram (in this embodiment, N is 16).
Specifically, the sub-wind movement vectors in 16 directions are calculated.
Step S540: and the server obtains a wind power movement vector from the source tracing position to the first meteorological station direction based on each sub wind power movement vector in a first preset time period in the past, and marks the wind power movement vector as a first wind power movement vector.
Specifically, the wind power movement vectors of the sub wind power movement vectors in 16 directions mapped to the direction from the source tracing position to the first weather station are obtained through calculation.
Step S550: the server determines whether a norm of the first wind movement vector is greater than a distance between the traceback location and the first weather station.
Specifically, if the norm of the first wind power movement vector is greater than the distance between the source tracing position and the first weather station, that is, it means that the wind power can blow the polluted air at the source tracing position to the first weather station within the first preset time period in the past, that is, the first weather station should be able to detect air pollution.
If yes, go to step S560: and the server judges whether the index difference value of the first meteorological station is greater than the preset difference value.
Specifically, the server determines whether the index difference of the first weather station is greater than a preset difference.
Step S570: and if the number of the messages is smaller than the preset value, the server generates the source tracing and doubt information.
Specifically, if the value is less than the preset value, it indicates that the first weather station does not detect air pollution, it indicates that the source tracing position obtained by the calculation has an error, and the source tracing position needs to be further verified and judged, so that the server generates the source tracing doubt information.
In a sixth embodiment of the air quality tracing method based on the wind rose diagram and pollution source monitoring, based on the fifth embodiment, the system further comprises an unmanned aerial vehicle and a display screen; the server is used for controlling the flight of the unmanned aerial vehicle; the unmanned aerial vehicle has a photographing function; the display screen is in communication connection with the server; the embodiment further comprises the following steps:
step S610: the server controls the unmanned aerial vehicle to fly to the source tracing position.
Step S620: the unmanned aerial vehicle shoots the tracing position to obtain a tracing position image.
Step S630: and the unmanned aerial vehicle sends the source tracing position image to the server.
Step S640: and the server displays the source tracing position image on the display screen.
Specifically, the image of the tracing position is displayed on the display screen through the unmanned aerial vehicle, the worker observes the picture and judges whether the tracing position obtained by the calculation is accurate or not based on the picture, and the worker judges whether the air pollution phenomenon occurs or not in the picture.
In a seventh embodiment of the air quality tracing method based on the wind rose diagram and the pollution source monitoring, based on the sixth embodiment, step S630 further includes the following steps:
step S710: and the server performs image analysis on the source tracing position image to judge whether the source tracing position is the actual position of the air pollution source.
Specifically, whether the air pollution phenomenon appears in the traceable position image is judged through an image analysis mode, so that whether the traceable position is the actual position of the air pollution source is judged, and the judgment is more convenient and faster compared with manual judgment.
In an eighth embodiment of the air quality tracing method based on the wind rose diagram and the pollution source monitoring, based on the fourth embodiment, step S420 further includes the following steps:
step S810: and the server generates a corresponding second wind frequency and wind speed rose diagram based on the wind direction and wind speed data in the first preset time period in the future of the target meteorological station.
Namely, the server acquires the wind direction and wind speed data of the target weather station within the first preset time period in the future after 1 hour.
And then generating a corresponding second wind frequency and wind speed rose diagram based on the wind direction and wind speed data of the target meteorological station in the future of 1 hour.
Step S820: and the server generates each sub-wind power movement vector in a first preset time period in the future based on the second wind frequency and wind speed rose diagram.
Wherein the content of the first and second substances,
for the first predetermined period of time in the futureThe ith sub-wind power motion vector is larger than 0 and smaller than or equal to N, and N is the number of wind direction vectors in the second wind frequency and wind speed rose diagram; the second wind frequency and wind speed rose diagram takes the east-west direction as an X axis and the south-north direction as a Y axis, the second wind frequency and wind speed rose diagram comprises N wind direction vectors in different directions, each wind direction vector corresponds to a frequency value, each wind direction vector also corresponds to an average wind speed value,
representing the ith said wind direction vector in a second rose of wind frequency and wind speed, the norm of said wind direction vector being the corresponding said frequency value, Wi,vAnd the average wind speed value corresponding to the ith wind direction vector in the second wind frequency and wind speed rose diagram is obtained.
Step S830: and the server obtains a wind power movement vector from the source tracing position to the target meteorological station direction based on each sub wind power movement vector in a first preset time period in the future, and marks the wind power movement vector as a second wind power movement vector.
Specifically, the second wind movement vector is a movement vector in the direction that the wind blows from the source location to the target weather station after 1 hour in the future.
Step S840: and when the modulus of the second wind power movement vector is larger than the distance between the source tracing position and the target meteorological station, the server judges whether the exponential difference value of the target meteorological station after the first preset time period in the future is a positive number.
Specifically, when the norm of the second wind movement vector is greater than the distance between the source tracing position and the target weather station, it indicates that after 1 hour in the future, wind can blow from the source tracing position to the target weather station, and the target weather station should still be able to detect air pollution.
Therefore, whether the index difference value after the future first preset time period of the target weather station is a positive number is further judged.
Step S850: and if the index difference value after the first preset time period is not a positive number in the future, the server generates the source tracing doubt information.
Specifically, if the number is not positive, it indicates that the air quality index detected by the target weather station is reduced, and contradicts with the conclusion that the target weather station can still detect air pollution, so that it indicates that the source tracing position is wrong, and the server generates the source tracing doubt information to remind the staff of performing manual error investigation.
Step S860: and when the modulus of the second wind power movement vector is smaller than the distance between the source tracing position and the target meteorological station, the server judges whether the exponential difference value of the target meteorological station after the first preset time period in the future is a negative number.
Specifically, when the norm of the second wind movement vector is smaller than the distance between the source tracing position and the target weather station, it indicates that after 1 hour in the future, wind cannot blow from the source tracing position to the target weather station, and the target weather station should not detect air pollution.
Therefore, whether the index difference value after the future first preset time period of the target weather station is a negative number or not is further judged.
Step S870: and if the index difference value after the first preset time period is not a negative number in the future, the server generates the source tracing and doubt information.
Specifically, if the number is not negative, it indicates that the air quality index detected by the target weather station has risen, and contradicts with the conclusion that the target weather station cannot detect air pollution, so that it indicates that the source tracing position has an error, and the server generates the source tracing doubt information to remind the staff of performing manual error investigation.
In a ninth embodiment of the air quality tracing method based on the wind rose diagram and pollution source monitoring, based on the sixth embodiment, the unmanned aerial vehicle is provided with an air quality detector; the air quality detector can detect the air quality in real time and generate an air quality index in real time; step S420, then, the following steps are included:
step S910: the server judges whether the modulus of the total wind power movement vector is larger than the maximum distance between 2 adjacent meteorological stations.
If yes, go to step S920: the server controls the unmanned aerial vehicle to move towards the tracing position by taking the target weather station as an initial position, the air quality is detected once every preset distance in the moving process, and an air quality index is generated in real time.
Specifically, if the norm of the total wind movement vector is greater than the maximum distance between 2 adjacent weather stations, it indicates that the distance blown by the wind is greater than the maximum distance between 2 adjacent weather stations, and thus indicates that the position of the actual air pollution source may be at any point on the straight line between the source tracing position and the target weather station, and further determination is required to improve the accuracy of the source tracing position.
Therefore direct control unmanned aerial vehicle uses target weather station as initial position, moves to the position of tracing to the source, and every preset distance (for example 1 kilometer) detects once air quality in the removal process to generate air quality index in real time, detect on the spot through unmanned aerial vehicle promptly, with the accurate position of obtaining the air pollution source.
Step S930: and the unmanned aerial vehicle sends the air quality index generated in real time and the corresponding detection position to the server.
Step S940: when the server firstly sets the air quality index generated in real time as a normal value, the position of the detection position corresponding to the unmanned aerial vehicle, which is a reverse preset distance of the advancing direction, is marked as a correction position.
Specifically, in the moving process of the unmanned aerial vehicle, when the detected air quality index is between the real air pollution source and the target meteorological station, the detected air quality index should exceed the standard, and once the detected air quality index exceeds the position of the real air pollution source, the detected air quality index should be normal (when the detected air quality index exceeds the normal value, in this embodiment, the normal value is the collection time, and the average value of the air quality indexes in the area is the normal value), so that once the detected air quality index of the unmanned aerial vehicle is the first normal value, it indicates that the unmanned aerial vehicle has just exceeded the real air pollution source, and therefore, the position of the detected position after being reversely pushed by 1 km is directly marked as a surveying position, and the surveying position is the position of the real air pollution source.
In a tenth embodiment of the air quality tracing method based on the wind rose diagram and pollution source monitoring, based on the fourth embodiment, the system further comprises an alarm; the alarm is in communication connection with the server; step S420, then, the following steps are included:
step S1010: the alarm gives an alarm.
Specifically, after the source tracing position is calculated, the alarm reminds workers so as to carry out the next air treatment measure.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, wherein the software product is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. An air quality tracing method based on wind rose diagram and pollution source monitoring is characterized by being applied to an air quality tracing system based on wind rose diagram and pollution source monitoring; the system comprises a server and a plurality of weather stations; the plurality of weather stations are arranged in a monitoring area in a grid-shaped and equidistant manner; a plurality of weather stations are in communication connection with the server; the method comprises the following steps:
the weather station sends the collected air quality index to the server every other first preset time period;
the meteorological station sends collected wind direction and wind speed data to the server every other second preset time period, wherein the second preset time period is smaller than the first preset time period;
the server acquires the meteorological station which detects the air pollution event based on the air quality index of each meteorological station and marks the meteorological station as a target meteorological station;
the server generates a corresponding first wind frequency and wind speed rose diagram based on the wind direction and wind speed data of the target weather station in the past within the first preset time period;
the server determines a source tracing position of an air pollution source based on the first wind frequency and wind speed rose diagram;
the server acquires weather stations detecting air pollution events based on the air quality indexes of the weather stations, marks the weather stations as target weather stations, and comprises the following steps:
the server subtracts the air quality index acquired at the last acquisition moment from the current air quality index to obtain an index difference value of each meteorological station;
the server generates a preset difference value based on the first preset time period;
the server marks all the index difference values which are larger than the preset difference value as a target set;
the server marks the maximum index difference value in the target set as a target difference value;
the server marks the weather station corresponding to the target difference value as the target weather station;
the calculation formula for the server to generate the preset difference value based on the first preset time period is as follows:
wherein, CyThe preset difference value is obtained; cbThe standard deviation value is a constant larger than 0 and is determined according to the annual average air quality index of the area to be measured; t is1The first preset time period is set; t isbIs a standard time length and is a constant larger than 0.
2. The air quality tracing method based on wind rose diagram and pollution source monitoring according to claim 1, wherein the server determines the tracing position of the air pollution source based on the first wind frequency wind speed rose diagram, comprising:
the server calculates a total wind movement vector of a first preset time period in the past based on the first wind frequency and wind speed rose diagram:
wherein the content of the first and second substances,
the total wind power movement vector of a first preset time period in the past is obtained; the first wind frequency and wind speed rose diagram takes an east-west direction as an X axis and a south-north direction as a Y axis, the first wind frequency and wind speed rose diagram comprises N wind direction vectors in different directions, each wind direction vector corresponds to a frequency value, each wind direction vector also corresponds to an average wind speed value,
representing the ith said wind direction vector modulo the corresponding said frequency value, Fi,vThe average wind speed value corresponding to the ith wind direction vector is obtained;
the server subtracts the total wind movement vector from the geographic coordinates of the target weather station to generate the source-seeking location coordinates of the source of air pollution.
3. The air quality traceability method based on wind rose and pollution source monitoring as claimed in claim 2, wherein said server subtracts said total wind movement vector from the geographical coordinates of said target weather station to generate the traceability position coordinates of the air pollution source, and thereafter further comprising:
the server marks the weather station closest to the source tracing position as a first weather station;
the server judges whether the first weather station is the target weather station;
if not, the server generates each sub-wind power motion vector in the past first preset time period based on the first wind frequency and wind speed rose diagram:
wherein the content of the first and second substances,
for the ith sub-wind power motion vector in the past first preset time period, i is greater than 0 and less than or equal to N, and N is the number of wind direction vectors in the first wind frequency and wind speed rose diagram;
the server obtains a wind power movement vector from the source tracing position to the first meteorological station direction based on each sub wind power movement vector in a first preset time period in the past, and marks the wind power movement vector as a first wind power movement vector;
the server judges whether the modulus of the first wind power motion vector is larger than the distance between the source tracing position and the first weather station;
if so, the server judges whether the index difference value of the first meteorological station is greater than the preset difference value;
and if the number of the messages is smaller than the preset value, the server generates the source tracing and doubt information.
4. The air quality tracing method based on wind rose diagram and pollution source monitoring according to claim 3, characterized in that said system further comprises an unmanned aerial vehicle and a display screen; the server is used for controlling the flight of the unmanned aerial vehicle; the unmanned aerial vehicle has a photographing function; the display screen is in communication connection with the server; the method further comprises the following steps:
the server controls the unmanned aerial vehicle to fly to the source tracing position;
the unmanned aerial vehicle shoots the tracing position to obtain a tracing position image;
the unmanned aerial vehicle sends the source tracing position image to the server;
and the server displays the source tracing position image on the display screen.
5. The air quality tracing method based on wind rose and pollution source monitoring according to claim 4, wherein said unmanned aerial vehicle sends said tracing position image to said server, and then further comprising:
and the server performs image analysis on the source tracing position image to judge whether the source tracing position is the actual position of the air pollution source.
6. The air quality traceability method based on wind rose and pollution source monitoring as claimed in claim 2, wherein said server subtracts said total wind movement vector from the geographical coordinates of said target weather station to generate the traceability position coordinates of the air pollution source, and thereafter further comprising:
the server generates a corresponding second wind frequency and wind speed rose diagram based on the wind direction and wind speed data in the first preset time period in the future of the target meteorological station;
the server generates each sub-wind power motion vector in a first preset time period in the future based on the second wind frequency and wind speed rose diagram:
wherein the content of the first and second substances,
for the ith sub-wind power motion vector in a first preset time period in the future, i is greater than 0 and less than or equal to N, and N is the number of wind direction vectors in the second wind frequency and wind speed rose diagram; the second wind frequency and wind speed rose diagram takes the east-west direction as an X axis and the south-north direction as a Y axis, the second wind frequency and wind speed rose diagram comprises N wind direction vectors in different directions, each wind direction vector corresponds to a frequency value, each wind direction vector also corresponds to an average wind speed value,
representing the ith said wind direction vector modulo the corresponding said frequency value, Wi,vThe average wind speed value corresponding to the ith wind direction vector is obtained;
the server obtains a wind power movement vector from the source tracing position to the target meteorological station direction based on each sub wind power movement vector in a first preset time period in the future, and marks the wind power movement vector as a second wind power movement vector;
when the modulus of the second wind power movement vector is larger than the distance between the source tracing position and the target meteorological station, the server judges whether the exponential difference value of the target meteorological station after the first preset time period in the future is a positive number;
if the index difference value after the first preset time period in the future is not a positive number, the server generates a source tracing and doubt backing information;
when the modulus of the second wind power movement vector is smaller than the distance between the source tracing position and the target meteorological station, the server judges whether the exponential difference value of the target meteorological station after the first preset time period in the future is a negative number;
and if the index difference value after the first preset time period is not a negative number in the future, the server generates the source tracing and doubt information.
7. The air quality tracing method based on wind rose diagram and pollution source monitoring according to claim 4, characterized in that said unmanned aerial vehicle is provided with an air quality detector; the air quality detector can detect the air quality in real time and generate an air quality index in real time; the server subtracts the total wind movement vector from the geographic coordinates of the target weather station to generate the source-tracking location coordinates of the source of air pollution, and thereafter further comprising:
the server judges whether the modulus of the total wind power movement vector is larger than the maximum distance between 2 adjacent meteorological stations;
if so, the server controls the unmanned aerial vehicle to move to the source tracing position by taking the target weather station as an initial position, detects the air quality once every preset distance in the moving process, and generates an air quality index in real time;
the unmanned aerial vehicle sends the air quality index generated in real time and the corresponding detection position to the server;
when the server firstly sets the air quality index generated in real time as a normal value, the position of the detection position corresponding to the unmanned aerial vehicle, which is a reverse preset distance of the advancing direction, is marked as a correction position.
8. The air quality tracing method based on wind rose diagram and pollution source monitoring according to claim 2, characterized in that said system further comprises an alarm; the alarm is in communication connection with the server; the server subtracts the total wind movement vector from the geographic coordinates of the target weather station to generate the source-tracking location coordinates of the source of air pollution, and thereafter further comprising:
the alarm gives an alarm.
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