CN108645768A - A kind of PM2.5 remote sense monitoring systems, monitoring model method for building up and monitoring method - Google Patents
A kind of PM2.5 remote sense monitoring systems, monitoring model method for building up and monitoring method Download PDFInfo
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Abstract
This application discloses a kind of PM2.5 remote sense monitoring systems, processor, memory, PM2.5 computation processors and display device are generated including PM2.5 monitoring devices, remotely-sensed data acquisition device, model, wherein, model generates processor and is electrically connected respectively with the PM2.5 monitoring devices, remotely-sensed data acquisition device and memory, and PM2.5 computation processors are electrically connected with remotely-sensed data acquisition device, memory and display device respectively.PM2.5 remote sense monitoring systems disclosed in the present application can carry out PM2.5 calculating according to the air environment information that the remotely-sensed data acquisition device in satellite, unmanned plane or other aerial devices obtains to large range of region to be measured, and ground installation is directly used to monitor PM2.5 in the prior art, the monitoring region of each ground installation is smaller, if desired the PM2.5 values of large area are monitored, using the technical solution of the application, hardware cost can greatly be saved.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of PM2.5 remote sense monitoring systems, monitoring model method for building up
And monitoring method.
Background technology
PM2.5 fine particles refer to the particulate matter that aerodynamics equivalent diameter in surrounding air is less than or equal to 2.5 microns.It
It can be suspended in the air long period, content concn is higher in air, and it is more serious just to represent air pollution.Although PM2.5
The only seldom component of content in earth atmosphere ingredient, but it has air quality and visibility etc. important influence.With it is relatively thick
Atmospheric particulates compare, PM2.5 grain sizes are small, and area is big, and activity is strong, easily subsidiary poisonous and harmful substances（For example, heavy metal, micro-
Biology etc.）, and residence time length, fed distance in an atmosphere is remote, thus to the influence of health and atmosphere quality
Bigger.Measured however, existing PM2.5 measures generally use ground survey device, measurement range is small, measurement result for
The reference value of large range of air quality assessment is low.
Therefore, how PM2.5 to be monitored within the scope of large area, become those skilled in the art there is an urgent need for
It solves the problems, such as.
Invention content
The technical problem to be solved by the present invention is to：How PM2.5 to be monitored within the scope of large area.
In order to solve the above technical problems, present invention employs the following technical solutions：
A kind of PM2.5 remote sense monitoring systems, including PM2.5 monitoring devices, remotely-sensed data acquisition device, model generation processor,
Memory, PM2.5 computation processors and display device, wherein model generate processor respectively with the PM2.5 monitoring devices,
Remotely-sensed data acquisition device and memory electrical connection, PM2.5 computation processors respectively with remotely-sensed data acquisition device, memory and
Display device is electrically connected.
This application discloses a kind of PM2.5 remote sense monitoring systems, its working principle is that, first according to air environment information and
The PM2.5 information of acquisition establishes a PM2.5 monitoring model, later it is only necessary to know that the air environment information in region to be measured, i.e.,
The PM2.5 values that this model calculates region to be measured can be used.PM2.5 remote sense monitoring systems disclosed in the present application can be according to installation
The air environment information that remotely-sensed data acquisition device in satellite, unmanned plane or other aerial devices obtains is to large range of
Region to be measured carries out PM2.5 calculating, and ground installation is directly used to monitor PM2.5, the prison of each ground installation in the prior art
Survey region is smaller, if desired monitors the PM2.5 values of large area, using the technical solution of the application, can greatly save hard
Part cost.
Preferably, further include warning device, the warning device is electrically connected with PM2.5 computation processors.
The application can also design warning device, described when the PM2.5 values in the region to be measured are more than preset alarm threshold value
Warning device is alarmed, to realize the function of alarming in the case where air quality is poor.
Disclosed herein as well is a kind of PM2.5 remote sensing monitorings method for building up, obtain PM2.5 remote sense monitoring systems, institute
It includes that PM2.5 monitoring devices, remotely-sensed data acquisition device, model generate processor and memory to state PM2.5 remote sense monitoring systems,
Wherein, model generates processor and is electrically connected respectively with the PM2.5 monitoring devices, remotely-sensed data acquisition device and memory, institute
Stating PM2.5 remote sensing monitoring method for building up includes：
PM2.5 monitoring devices obtain the modeling PM2.5 information of its region；
Remotely-sensed data acquisition device obtains the modeling air environment information of PM2.5 monitoring devices region；
Model generation processor receives the modeling that the PM2.5 monitoring devices are sent and is obtained with PM2.5 information and the remotely-sensed data
The modeling air environment information for taking device to send；
Model generates processor based on the modeling PM2.5 information and modeling air environment information generation PM2.5 prisons
Survey model；
Memory stores the PM2.5 monitoring models.
PM2.5 monitoring models disclosed in the present application can carry out PM2.5 values in the case of only air environment information
It calculates, avoids having to directly monitor PM2.5 values using ground installation, PM2.5 remote sense monitoring systems disclosed in the present application can
According in satellite, unmanned plane or other aerial devices remotely-sensed data acquisition device obtain air environment information to compared with
Region to be measured carries out PM2.5 calculating on a large scale, and ground installation is directly used to monitor PM2.5, each ground in the prior art
The monitoring region of equipment is smaller, and the PM2.5 values for if desired monitoring large area can be very big using the technical solution of the application
Saving hardware cost.
Preferably, the modeling air environment information includes the aerosol light of PM2.5 monitoring devices region
Learn thickness value A, Boundary Layer Height B, near-earth humidity C, the first wind direction component D and the second wind direction component E, the first wind direction component and the
The direction of two wind direction components is mutually perpendicular to.
Preferably, the PM2.5 monitoring models P2.5=ex1×Ax2×Bx3×eC×x4+D×x5+E×x6, wherein x1 is the first prediction
Coefficient, x2 are the second predictive coefficient, and x3 is third predictive coefficient, and x4 is the 4th predictive coefficient, and x5 is the 5th predictive coefficient, and x6 is
6th predictive coefficient, all predictive coefficients are calculated by modeling PM2.5 information and modeling air environment information using neural network
Method acquires.
In the application, aerosol optical depth, Boundary Layer Height, near-earth humidity, wind direction and wind-force pair are adequately considered
The influence of PM2.5, is modeled using neural network algorithm so that the value of the calculated PM2.5 of final mask is more accurate.
Disclosed herein as well is a kind of PM2.5 remote-sensing monitoring methods, obtain PM2.5 remote sense monitoring systems, and the PM2.5 is distant
It includes remotely-sensed data acquisition device, memory, PM2.5 computation processors and display device to feel monitoring system, wherein PM2.5 is counted
It calculates processor to be electrically connected with remotely-sensed data acquisition device, memory and display device respectively, be stored in memory above-mentioned
PM2.5 monitoring models, the PM2.5 remote-sensing monitoring methods include：
Remotely-sensed data acquisition device obtains the air environment information to be measured in region to be measured；
PM2.5 computation processors receive the air environment information to be measured that remotely-sensed data acquisition device is sent；
PM2.5 computation processors call the PM2.5 monitoring models stored in memory；
PM2.5 computation processors calculate region to be measured based on the PM2.5 monitoring models and the air environment information to be measured
PM2.5 information；
Display device shows the PM2.5 information in the region to be measured.
PM2.5 remote sense monitoring systems disclosed in the present application can be according to mounted on satellite, unmanned plane or other aerial devices
On the air environment information that obtains of remotely-sensed data acquisition device PM2.5 calculating is carried out to large range of region to be measured, and show
Having in technology directly uses ground installation to monitor PM2.5, and the monitoring region of each ground installation is smaller, if desired monitors larger area
The PM2.5 values in domain can greatly save hardware cost using the technical solution of the application.
Preferably, the PM2.5 remote sense monitoring systems further include warning device, and the PM2.5 remote-sensing monitoring methods also wrap
It includes：
When the PM2.5 values in the region to be measured are more than preset alarm threshold value, the warning device alarm.
The application can also design warning device, described when the PM2.5 values in the region to be measured are more than preset alarm threshold value
Warning device is alarmed, to realize the function of alarming in the case where air quality is poor.
Description of the drawings
In order to keep the purpose, technical scheme and advantage of invention clearer, the present invention is made into one below in conjunction with attached drawing
The detailed description of step, wherein：
Fig. 1 is a kind of structural schematic diagram of PM2.5 remote sense monitoring systems disclosed in the present application；
Fig. 2 is a kind of flow chart of PM2.5 remote sensing monitorings method for building up disclosed in the present application；
Fig. 3 is a kind of flow chart of PM2.5 remote sensing monitorings method for building up disclosed in the present application.
Specific implementation mode
The present invention is described in further detail below in conjunction with the accompanying drawings.
As shown in Figure 1, this application discloses a kind of PM2.5 remote sense monitoring systems, including PM2.5 monitoring devices 101, remote sensing
Data acquisition facility 102, model generate processor 103, memory 104, PM2.5 computation processors 105 and display device 106,
Wherein, model generate processor 103 respectively with the PM2.5 monitoring devices 101, remotely-sensed data acquisition device 102 and memory
104 electrical connection, PM2.5 computation processors 105 respectively with remotely-sensed data acquisition device 102, memory 104 and display device 106
Electrical connection.
This application discloses a kind of PM2.5 remote sense monitoring systems, its working principle is that, first according to air environment information and
The PM2.5 information of acquisition establishes a PM2.5 monitoring model, later it is only necessary to know that the air environment information in region to be measured, i.e.,
The PM2.5 values that this model calculates region to be measured can be used.PM2.5 remote sense monitoring systems disclosed in the present application can be according to installation
The air environment information that remotely-sensed data acquisition device 102 in satellite, unmanned plane or other aerial devices obtains is to larger model
The region to be measured enclosed carries out PM2.5 calculating, and ground installation is directly used to monitor PM2.5, each ground installation in the prior art
Monitoring region it is smaller, if desired monitor large area PM2.5 values can greatly be saved using the technical solution of the application
About hardware cost.
When it is implemented, further including warning device 107, the warning device 107 and PM2.5 computation processors 105 are electrically connected
It connects.
The application can also design warning device 107, when the PM2.5 values in the region to be measured are more than preset alarm threshold value,
The warning device 107 is alarmed, to realize the function of alarming in the case where air quality is poor.
As shown in Fig. 2, disclosed herein as well is a kind of PM2.5 remote sensing monitorings method for building up, PM2.5 remote sensing prison is obtained
Examining system, the PM2.5 remote sense monitoring systems include PM2.5 monitoring devices, remotely-sensed data acquisition device, model generation processor
And memory, wherein model generate processor respectively with the PM2.5 monitoring devices, remotely-sensed data acquisition device and memory
Electrical connection, the PM2.5 remote sensing monitorings method for building up include：
S201, PM2.5 monitoring device obtain the modeling PM2.5 information of its region；
S202, remotely-sensed data acquisition device obtain the modeling air environment information of PM2.5 monitoring devices region；
S203, model generate processor and receive the modeling PM2.5 information and the remote sensing number that the PM2.5 monitoring devices are sent
The modeling air environment information sent according to acquisition device；
S204, model generate processor based on the modeling PM2.5 information and modeling air environment information generation
PM2.5 monitoring models；
S205, memory store the PM2.5 monitoring models.
PM2.5 monitoring models disclosed in the present application can carry out PM2.5 values in the case of only air environment information
It calculates, avoids having to directly monitor PM2.5 values using ground installation, PM2.5 remote sense monitoring systems disclosed in the present application can
According in satellite, unmanned plane or other aerial devices remotely-sensed data acquisition device obtain air environment information to compared with
Region to be measured carries out PM2.5 calculating on a large scale, and ground installation is directly used to monitor PM2.5, each ground in the prior art
The monitoring region of equipment is smaller, and the PM2.5 values for if desired monitoring large area can be very big using the technical solution of the application
Saving hardware cost.
When it is implemented, the modeling air environment information include PM2.5 monitoring devices region gas it is molten
Glue optical thickness values A, Boundary Layer Height B, near-earth humidity C, the first wind direction component D and the second wind direction component E, the first wind direction component
It is mutually perpendicular to the direction of the second wind direction component.
When it is implemented, the PM2.5 monitoring models P2.5=ex1×Ax2×Bx3×eC×x4+D×x5+E×x6, wherein x1 is first
Predictive coefficient, x2 are the second predictive coefficient, and x3 is third predictive coefficient, and x4 is the 4th predictive coefficient, and x5 is the 5th predictive coefficient,
X6 is the 6th predictive coefficient, and all predictive coefficients use nerve net by modeling PM2.5 information and modeling air environment information
Network algorithm acquires.
In the application, aerosol optical depth, Boundary Layer Height, near-earth humidity, wind direction and wind-force pair are adequately considered
The influence of PM2.5, is modeled using neural network algorithm so that the value of the calculated PM2.5 of final mask is more accurate.
As shown in figure 3, disclosed herein as well is a kind of PM2.5 remote-sensing monitoring methods, PM2.5 remote sense monitoring systems are obtained,
The PM2.5 remote sense monitoring systems include remotely-sensed data acquisition device, memory, PM2.5 computation processors and display device,
In, PM2.5 computation processors are electrically connected with remotely-sensed data acquisition device, memory and display device respectively, are stored in memory
There are the above-mentioned PM2.5 monitoring models, the PM2.5 remote-sensing monitoring methods to include：
S301, remotely-sensed data acquisition device obtain the air environment information to be measured in region to be measured；
S302, PM2.5 computation processor receive the air environment information to be measured that remotely-sensed data acquisition device is sent；
S303, PM2.5 computation processor call the PM2.5 monitoring models stored in memory；
S304, PM2.5 computation processor are based on the PM2.5 monitoring models and the air environment information to be measured calculates area to be measured
The PM2.5 information in domain；
S305, display device show the PM2.5 information in the region to be measured.
PM2.5 remote sense monitoring systems disclosed in the present application can be according to mounted on satellite, unmanned plane or other aerial devices
On the air environment information that obtains of remotely-sensed data acquisition device PM2.5 calculating is carried out to large range of region to be measured, and show
Having in technology directly uses ground installation to monitor PM2.5, and the monitoring region of each ground installation is smaller, if desired monitors larger area
The PM2.5 values in domain can greatly save hardware cost using the technical solution of the application.
When it is implemented, the PM2.5 remote sense monitoring systems further include warning device, the PM2.5 remote-sensing monitoring methods
Further include：
When the PM2.5 values in the region to be measured are more than preset alarm threshold value, the warning device alarm.
The application can also design warning device, described when the PM2.5 values in the region to be measured are more than preset alarm threshold value
Warning device is alarmed, to realize the function of alarming in the case where air quality is poor.
Finally illustrate, the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although passing through ginseng
According to the preferred embodiment of the present invention, invention has been described, it should be appreciated by those of ordinary skill in the art that can
To make various changes to it in the form and details, without departing from of the invention defined by the appended claims
Spirit and scope.
Claims (7)
1. a kind of PM2.5 remote sense monitoring systems, which is characterized in that including PM2.5 monitoring devices, remotely-sensed data acquisition device, mould
Type generates processor, memory, PM2.5 computation processors and display device, wherein model generate processor respectively with it is described
PM2.5 monitoring devices, remotely-sensed data acquisition device and memory electrical connection, PM2.5 computation processors are obtained with remotely-sensed data respectively
Take device, memory and display device electrical connection.
2. PM2.5 remote sense monitoring systems as described in claim 1, which is characterized in that further include warning device, the alarm dress
It sets and is electrically connected with PM2.5 computation processors.
3. a kind of PM2.5 remote sensing monitorings method for building up, which is characterized in that PM2.5 remote sense monitoring systems are obtained, it is described
PM2.5 remote sense monitoring systems include that PM2.5 monitoring devices, remotely-sensed data acquisition device, model generate processor and memory,
In, model generates processor and is electrically connected respectively with the PM2.5 monitoring devices, remotely-sensed data acquisition device and memory, described
PM2.5 remote sensing monitoring method for building up includes：
PM2.5 monitoring devices obtain the modeling PM2.5 information of its region；
Remotely-sensed data acquisition device obtains the modeling air environment information of PM2.5 monitoring devices region；
Model generation processor receives the modeling that the PM2.5 monitoring devices are sent and is obtained with PM2.5 information and the remotely-sensed data
The modeling air environment information for taking device to send；
Model generates processor based on the modeling PM2.5 information and modeling air environment information generation PM2.5 prisons
Survey model；
Memory stores the PM2.5 monitoring models.
4. PM2.5 remote sensing monitorings method for building up as claimed in claim 3, which is characterized in that the modeling air ring
Border information include the aerosol optical depth value A of PM2.5 monitoring devices region, Boundary Layer Height B, near-earth humidity C,
First wind direction component D and the second wind direction component E, the direction of the first wind direction component and the second wind direction component is mutually perpendicular to.
5. PM2.5 remote sensing monitorings method for building up as claimed in claim 4, which is characterized in that the PM2.5 monitoring models
P2.5=ex1×Ax2×Bx3×eC×x4+D×x5+E×x6, wherein x1 is the first predictive coefficient, and x2 is the second predictive coefficient, and x3 is that third is pre-
Coefficient is surveyed, x4 is the 4th predictive coefficient, and x5 is the 5th predictive coefficient, and x6 is the 6th predictive coefficient, and all predictive coefficients are by modeling
It is acquired using neural network algorithm with air environment information with PM2.5 information and modeling.
6. a kind of PM2.5 remote-sensing monitoring methods, which is characterized in that obtain PM2.5 remote sense monitoring systems, the PM2.5 remote sensing prison
Examining system includes remotely-sensed data acquisition device, memory, PM2.5 computation processors and display device, wherein at PM2.5 calculating
Reason device is electrically connected with remotely-sensed data acquisition device, memory and display device respectively, and storage is just like claim 3 institute in memory
The PM2.5 monitoring models stated, the PM2.5 remote-sensing monitoring methods include：
Remotely-sensed data acquisition device obtains the air environment information to be measured in region to be measured；
PM2.5 computation processors receive the air environment information to be measured that remotely-sensed data acquisition device is sent；
PM2.5 computation processors call the PM2.5 monitoring models stored in memory；
PM2.5 computation processors calculate region to be measured based on the PM2.5 monitoring models and the air environment information to be measured
PM2.5 information；
Display device shows the PM2.5 information in the region to be measured.
7. PM2.5 remote-sensing monitoring methods as claimed in claim 6, which is characterized in that the PM2.5 remote sense monitoring systems also wrap
Warning device is included, the PM2.5 remote-sensing monitoring methods further include：
When the PM2.5 values in the region to be measured are more than preset alarm threshold value, the warning device alarm.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110287455A (en) * | 2019-05-28 | 2019-09-27 | 武汉大学 | A kind of PM2.5 deep learning inversion method of combination remotely-sensed data and social perception data |
| CN110411927A (en) * | 2019-08-02 | 2019-11-05 | 中国科学院遥感与数字地球研究所 | A kind of Fine Particles AOD and earth's surface polarized reflectance cooperate with inversion method |
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- 2018-05-16 CN CN201810468931.2A patent/CN108645768A/en active Pending
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| CN106442236A (en) * | 2015-07-30 | 2017-02-22 | 中国科学院遥感与数字地球研究所 | Ground PM2.5 inversion method and system based on satellite remote sensing |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110287455A (en) * | 2019-05-28 | 2019-09-27 | 武汉大学 | A kind of PM2.5 deep learning inversion method of combination remotely-sensed data and social perception data |
| CN110411927A (en) * | 2019-08-02 | 2019-11-05 | 中国科学院遥感与数字地球研究所 | A kind of Fine Particles AOD and earth's surface polarized reflectance cooperate with inversion method |
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