CN108737775A - Big data acquisition platform - Google Patents
Big data acquisition platform Download PDFInfo
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- CN108737775A CN108737775A CN201810092617.9A CN201810092617A CN108737775A CN 108737775 A CN108737775 A CN 108737775A CN 201810092617 A CN201810092617 A CN 201810092617A CN 108737775 A CN108737775 A CN 108737775A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
Abstract
The present invention relates to a kind of big data acquisition platforms, including：Terrestrial television transmission interface, setting on board the aircraft, for receiving the purpose navigation data and purpose flying height that ground staff is sent by handheld terminal based on terrestrial television transmission channel；Navigation equipment is arranged on board the aircraft, for being determined that current Galileo navigation position, the Galileo navigation data come from Galileo navigation satellite based on the Galileo navigation data received；Flight driving equipment is arranged on board the aircraft, for receiving flight control instruction, and based on the flight of the flight control instruction driving aircraft received；Network shooting component is arranged in the lower section of aircraft, including IP cameras, data volume measuring apparatus, self-adapting compressing equipment and web-transporting device.By means of the invention it is possible to accurately obtain big data information.
Description
Technical field
The present invention relates to big data application field more particularly to a kind of big data acquisition platforms.
Background technology
" big data " is to need new tupe that could have stronger decision edge, see clearly discovery power and process optimization ability
To adapt to magnanimity, high growth rate and diversified information assets.Study given a definition that in the whole world Mai Kenxi：A kind of scale is big
To the data acquisition system for being well beyond traditional database software means capability range in terms of acquisition, storage, management, analysis, tool
There is the low four big feature of data scale, quick stream compression, various data type and the value density of magnanimity.Big data analysis
It is widely used in the every field of smart city construction.
Invention content
To solve the above-mentioned problems, the present invention provides a kind of big data acquisition platform, can the mutation based on imaging it is special
Sign obtains corresponding block of pixels as subgraph output is confirmed, also to utilize based on mutation content threshold value from the image of shooting
The brighter feature in more, the corresponding block of window, each subgraph based on confirmation calculate the light levels of corresponding block.
More specifically, the present invention at least has the important inventive point of following four：
(1) image detection is carried out to window using the pattern of layering identification, to the erroneous judgement for avoiding window from identifying；
(2) block of pixels diagonal pixels value mutation testing mechanism is introduced, using the low characteristic of window mutation content, is realized
Effective identification to window；
(3) operation of the self-adapting compressing based on data volume size is carried out by the image acquired to network shooting component,
While ensureing image effect, the bandwidth of network data transmission is reduced；
(4) it using the pattern of aerial pan-shot, and on the basis of accurately being obtained to each window of panoramic picture, is based on
The percentage that window areas occupies panoramic picture determines the light levels for shooting block, and weight is provided for the urban architecture planning in later stage
The reference data wanted.
According to an aspect of the present invention, a kind of big data acquisition platform is provided, the platform includes：
Terrestrial television transmission interface, setting receive ground staff on board the aircraft, for being based on terrestrial television transmission channel
The purpose navigation data and purpose flying height sent by handheld terminal；
Barometertic altimeter, setting are on board the aircraft, corresponding with current gas pressure for being obtained based on air pressure detection pattern
Height as real-time height to export；
Navigation equipment is arranged on board the aircraft, for determining current gal based on the Galileo navigation data received
Profit slightly navigation position, the Galileo navigation data come from Galileo navigation satellite；
Flight driving equipment is arranged on board the aircraft, for receiving flight control instruction, and based on the flight control received
The flight of order-driven aircraft processed, the flight driving equipment are high with the terrestrial television transmission interface, the air pressure respectively
Degree meter is connected with the navigation equipment, for receiving the purpose navigation data and purpose flying height, and based on described
The flight of purpose navigation data and purpose flying height driving aircraft is until the current Galileo navigation position and the mesh
Navigation data matching and the real-time height matched with the purpose flying height；
Network shooting component is arranged in the lower section of aircraft, including IP cameras, data volume measuring apparatus, adaptive pressure
Contracting equipment and web-transporting device, the IP cameras are used to carry out image data to the lower section environment of aircraft to shoot to obtain
Site environment image, the data volume measuring apparatus are connect with the IP cameras, for receiving the site environment image simultaneously
Data volume calculating is carried out to the site environment image, the self-adapting compressing equipment is connect with the data volume measuring apparatus,
Big minor adjustment for the data volume based on calculating to the compressive strength of the site environment image, the web-transporting device with
The self-adapting compressing equipment connection, for compressed site environment image wireless to be sent to far-end video service centre；
Block of pixels splitting equipment is connect with the network shooting component, will be described for receiving the site environment image
Site environment image is matched with window baseline profile, to obtain one or more of site environment image matching part
Divide and exported as one or more suspect pixel blocks, the window baseline profile includes the benchmark shape of various types window.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the Working mould according to the block big data acquisition platform based on window identification shown in embodiment of the present invention
Quasi- figure.
Fig. 2 is the structure side according to the block big data acquisition platform based on window identification shown in embodiment of the present invention
Block diagram.
Specific implementation mode
Below with reference to accompanying drawings to the present invention based on window identification block big data acquisition platform embodiment into
Row is described in detail.
" smart city planning " is to study the future development in city, the rational deployment in city and comprehensive arrangement city items work
The comprehensive deployment of Cheng Jianshe, is the blueprint of urban development in the regular period, is the important component of city management, be that city is built
And if the premise of the foundation and urban planning, urban construction, city operations three phases management managed.
Urban planning be premised on developing eye, scientific appraisal, expert decision-making, to Urban Economic Structure, space structure,
Social structure development is planned, includes usually city piece section planning.With the important function instructed with specification urban construction, it is
The previous work of the overall management of the urban area is the tap of city management.The complication system characteristic in city determine urban planning be with
Urban development and operation conditions long-run adjustment, constantly revision, sustained improvement and perfect complicated continuous decision process.
For urban planning, the data of each block are one of the emphasis of concern, such as light levels, and block is excessively
It is bright, then it is interfered when being easy to cause traveling vehicle and crowd's walking, and block is excessively dark, then it is inadequate to be easy to cause district environment
Clearly, or even street lamp is needed to carry out additional illumination.Therefore, each item data for how accurately obtaining block is the weight of urban planning
One of work.
To solve the above-mentioned problems, the present invention provides a kind of block big data acquisition platform based on window identification, energy
Enough Characteristics of Mutation being imaged based on window, obtained from the image of shooting based on window mutation content threshold value corresponding block of pixels with
As confirmation window subgraph output, the feature for also utilizing more, the corresponding block of window brighter, each window based on confirmation
Subgraph calculates the light levels of corresponding block, can solve the problems, such as that block big data is difficult to accurate, Quick Acquisition.
Fig. 1 is the Working mould according to the block big data acquisition platform based on window identification shown in embodiment of the present invention
Quasi- figure.
Fig. 2 is the structure side according to the block big data acquisition platform based on window identification shown in embodiment of the present invention
Block diagram, the platform include：
Terrestrial television transmission interface, setting receive ground staff on board the aircraft, for being based on terrestrial television transmission channel
The purpose navigation data and purpose flying height sent by handheld terminal；
Barometertic altimeter, setting are on board the aircraft, corresponding with current gas pressure for being obtained based on air pressure detection pattern
Height as real-time height to export.
Then, continue to the present invention block big data acquisition platform identify based on window concrete structure into traveling one
The explanation of step.
Described based in the block big data acquisition platform of window identification, further include：
Navigation equipment, setting is on board the aircraft；
Wherein, the navigation equipment is used to determine current Galileo navigation based on the Galileo navigation data received
Position；
Wherein, the Galileo navigation data come from Galileo navigation satellite.
Described based in the block big data acquisition platform of window identification, further include：
Flight driving equipment is arranged on board the aircraft, for receiving flight control instruction, and based on the flight control received
The flight of order-driven aircraft processed；
Wherein, the flight driving equipment respectively with the terrestrial television transmission interface, the barometertic altimeter and described
Navigation equipment connects, for receiving the purpose navigation data and purpose flying height, and based on purpose navigation number
Drive the flight of aircraft until the current Galileo navigation position and the purpose navigation data according to purpose flying height
Matching and the real-time height are matched with the purpose flying height.
Described based in the block big data acquisition platform of window identification, further include：
Network shooting component is arranged in the lower section of aircraft, including IP cameras, data volume measuring apparatus, adaptive pressure
Contracting equipment and web-transporting device, the IP cameras are used to carry out image data to the lower section environment of aircraft to shoot to obtain
Site environment image, the data volume measuring apparatus are connect with the IP cameras, for receiving the site environment image simultaneously
Data volume calculating is carried out to the site environment image, the self-adapting compressing equipment is connect with the data volume measuring apparatus,
Big minor adjustment for the data volume based on calculating to the compressive strength of the site environment image, the web-transporting device with
The self-adapting compressing equipment connection, for compressed site environment image wireless to be sent to far-end video service centre.
Described based in the block big data acquisition platform of window identification, further include：
Block of pixels splitting equipment is connect with the network shooting component, will be described for receiving the site environment image
Site environment image is matched with window baseline profile, to obtain one or more of site environment image matching part
Divide and exported as one or more suspect pixel blocks, the window baseline profile includes the benchmark shape of various types window；
Block of pixels traverses equipment, is connect with the block of pixels splitting equipment, for receiving one or more suspect pixel blocks
And the site environment image is received, it is 45 degree of diagonal lines of 1 pixel to each suspect pixel block to use spaced
Cutting is carried out, to obtain a plurality of pixel line being made of pixel, 45 degree obliquely are carried out to the pixel of each pixel line
The traversal in direction is analyzed, and the pixel using pixel value more than front and back pixel average pixel value is as mutation pixel, by each item
The mutation pixel quantity of pixel line is added to obtain the mutation pixel sum of corresponding suspect pixel block, the block of pixels traversal
The mutation pixel sum of the one or more suspect pixel blocks of equipment output, wherein the front and back pixel average pixel value is will
Pixel line where the pixel pixel value of 2 pixels in 45 degree directions and 45 degree obliquely of the pixel line in pixel place obliquely
The pixel values of 2 pixels in direction is added divided by 4 numerical value that are obtained, in pixel value capture vegetarian refreshments tri- Color Channels of RGB
R color channel datas；
Size extraction equipment is connect with the block of pixels splitting equipment, for receiving one or more suspect pixel blocks, and
Determine and export the length and width of each suspect pixel block；
Block of pixels analytical equipment traverses equipment with the block of pixels respectively and the size extraction equipment is connect, for connecing
It receives the mutation pixel sum of one or more suspect pixel blocks and receives the length and width of each suspect pixel block, and
Following operation is executed for each suspect pixel block：The length and width of suspect pixel block is multiplied to obtain suspect pixel block
Block of pixels area, the block of pixels area of the mutation pixel sum of suspect pixel block divided by suspect pixel block is suspicious to obtain
The mutation content of block of pixels；
Object matching equipment is connect with the block of pixels analytical equipment, by the mutation journey of one or more suspect pixel blocks
Degree is matched with window mutation content threshold value, and matching degree is more than or equal to the suspect pixel block of percentage threshold as confirmation window
Image exports, and the quantity for confirming window subgraph is one or more；
Window areas estimation device connect with the object matching equipment and the block of pixels splitting equipment, is used for respectively
Receive site environment image from the block of pixels splitting equipment and receive one from the object matching equipment or
Multiple confirmation window subgraphs calculate each pixel sum for confirming window subgraph, and by one or more of confirmations
The pixel sum of window subgraph is added to obtain window areas, calculates the pixel sum of the site environment image to obtain
Site environment area is obtained, the window areas divided by the site environment area are occupied into percentage to obtain window, and be based on
Window occupies the light levels of the corresponding block of purpose navigation data described in percentage calculation；
Wherein, the big minor adjustment of the data volume of the self-adapting compressing equipment based on calculating is to the site environment image
Compressive strength includes：The data volume of calculating is bigger, and the compressive strength to the site environment image of adjusting is higher, and is pressed
Site environment image after contracting.
Described based in the block big data acquisition platform of window identification, further include：
TF storage cards are connect with the object matching equipment and the block of pixels splitting equipment respectively；
The TF storage cards are for storing the window mutation content threshold value, the percentage threshold and the window benchmark
Profile.
Described based in the block big data acquisition platform of window identification：
The window areas estimation device is also connect with the terrestrial television transmission interface；
Wherein, the window areas estimation device is used to the light levels of the block passing through the terrestrial television transmission
Interface is sent at the handheld terminal of ground staff.
And described based in the block big data acquisition platform of window identification：
The self-adapting compressing equipment is also connect with the terrestrial television transmission interface；
Wherein, the compressed site environment image that the self-adapting compressing equipment is used to obtain passes through ground electricity
It is sent at the handheld terminal of ground staff depending on coffret.
In addition, the Galileo navigation data come from the Galileo navigation satellite in galileo satellite navigation system.Gal
Profit slightly satellite navigation system (Galileo satellite navigation system) is developed and is established complete by European Union
Ball satellite navigation and location system, the plan were announced in 2 months 1999 by European commission, and European commission and European Space Agency bear jointly
Duty.System is made of 30 satellites that orbit altitude is 23616km, wherein 27 work stars, 3 backup stars.Satellite orbit is high
About 2.4 ten thousand kilometers of degree is located in the orbit plane that 3 inclination angles are 56 degree.End in December, 2016, transmits 18 work
Satellite has early stage operational capacity (EOC), and plans had complete operation ability (FOC) in 2019.All 30 satellites
(being adjusted to 24 operational satellites, 6 backup satellites) plans in the year two thousand twenty battery has fired.
Block big data acquisition platform using the present invention based on window identification, for block big data in the prior art
The technical issues of being difficult to accurate, Quick Acquisition, by using high-precision image analysis mechanism, obtains each window in block
Subgraph, the brighter feature in more using window, corresponding block, the area percentage occupied by the subgraph based on each window
The light levels of block more corresponding than determination, to improve the speed and precision of block big data acquisition.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention is right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (8)
1. a kind of big data acquisition platform, the platform include：
Terrestrial television transmission interface, setting on board the aircraft, pass through for being based on terrestrial television transmission channel reception ground staff
The purpose navigation data and purpose flying height that handheld terminal is sent；
Barometertic altimeter, setting obtain height corresponding with current gas pressure on board the aircraft, for being based on air pressure detection pattern
To be exported as real-time height.
2. big data acquisition platform as described in claim 1, which is characterized in that the platform further includes：
Navigation equipment, setting is on board the aircraft；
Wherein, the navigation equipment is used to determine current Galileo navigation position based on the Galileo navigation data received
It sets；
Wherein, the Galileo navigation data come from Galileo navigation satellite.
3. big data acquisition platform as claimed in claim 2, which is characterized in that the platform further includes：
Flight driving equipment, setting on board the aircraft, are referred to for receiving flight control instruction, and based on the flight control received
Enable the flight of driving aircraft；
Wherein, the flight driving equipment respectively with the terrestrial television transmission interface, the barometertic altimeter and the navigation
Positioning device connects, for receiving the purpose navigation data and purpose flying height, and based on the purpose navigation data and
Purpose flying height drives the flight of aircraft until the current Galileo navigation position is matched with the purpose navigation data
And the real-time height is matched with the purpose flying height.
4. big data acquisition platform as claimed in claim 3, which is characterized in that the platform further includes：
Network shooting component is arranged and is set in the lower section of aircraft, including IP cameras, data volume measuring apparatus, self-adapting compressing
Standby and web-transporting device, the IP cameras are used to carry out image data to the lower section environment of aircraft to shoot to obtain scene
Ambient image, the data volume measuring apparatus are connect with the IP cameras, for receiving the site environment image and to institute
It states site environment image and carries out data volume calculating, the self-adapting compressing equipment connect with the data volume measuring apparatus, is used for
The big minor adjustment of data volume based on calculating to the compressive strength of the site environment image, the web-transporting device with it is described
Self-adapting compressing equipment connects, for compressed site environment image wireless to be sent to far-end video service centre.
5. big data acquisition platform as claimed in claim 4, which is characterized in that the platform further includes：
Block of pixels splitting equipment is connect with the network shooting component, for receiving the site environment image, by the scene
Ambient image is matched with window baseline profile, to obtain one or more of site environment image compatible portion simultaneously
It is exported as one or more suspect pixel blocks, the window baseline profile includes the benchmark shape of various types window；
Block of pixels traverse equipment, connect with the block of pixels splitting equipment, for receive one or more suspect pixel blocks and
Receive the site environment image, use it is spaced be 45 degree of diagonal lines of 1 pixel to each suspect pixel block carry out
Cutting carries out 45 degree of directions obliquely to obtain a plurality of pixel line being made of pixel to the pixel of each pixel line
Traversal analysis, using pixel value be more than front and back pixel average pixel value pixel as be mutated pixel, by each pixel
The mutation pixel quantity of line is added to obtain the mutation pixel sum of corresponding suspect pixel block, and the block of pixels traverses equipment
The mutation pixel sum of the one or more suspect pixel blocks of output, wherein the front and back pixel average pixel value is by pixel
The pixel value of 2 pixels in 45 degree directions and pixel place the pixel line 45 degree of directions obliquely obliquely of pixel line where point
The pixel values of 2 pixels be added divided by 4 numerical value that are obtained, the R face in pixel value capture vegetarian refreshments tri- Color Channels of RGB
Chrominance channel data；
Size extraction equipment is connect with the block of pixels splitting equipment, for receiving one or more suspect pixel blocks, and is determined
With the length and width for exporting each suspect pixel block；
Block of pixels analytical equipment traverses equipment with the block of pixels respectively and the size extraction equipment is connect, for receiving one
The mutation pixel sum of a or multiple suspect pixel blocks and the length and width for receiving each suspect pixel block, and be directed to
Each suspect pixel block executes following operation：The length and width of suspect pixel block is multiplied to obtain the picture of suspect pixel block
Plain block area, by the block of pixels area of the mutation pixel sum of suspect pixel block divided by suspect pixel block to obtain suspect pixel
The mutation content of block；
Object matching equipment is connect with the block of pixels analytical equipment, by the mutation content of one or more suspect pixel blocks with
Window mutation content threshold value matches, and matching degree is more than or equal to the suspect pixel block of percentage threshold as confirmation window subgraph
Output, the quantity for confirming window subgraph are one or more；
Window areas estimation device is connect respectively with the object matching equipment and the block of pixels splitting equipment, for receiving
The one or more of site environment image and reception from the object matching equipment from the block of pixels splitting equipment
Confirm window subgraph, calculates each pixel sum for confirming window subgraph, and by one or more of confirmation windows
The pixel sum of subgraph is added to obtain window areas, calculates the pixel sum of the site environment image to be showed
The window areas divided by the site environment area are occupied percentage to obtain window, and are based on window by field environment area
Occupy the light levels of the corresponding block of purpose navigation data described in percentage calculation；
Wherein, compression of the big minor adjustment of the data volume of the self-adapting compressing equipment based on calculating to the site environment image
Intensity includes：The data volume of calculating is bigger, and the compressive strength to the site environment image of adjusting is higher, and after obtaining compression
Site environment image.
6. big data acquisition platform as claimed in claim 5, which is characterized in that the platform further includes：
TF storage cards are connect with the object matching equipment and the block of pixels splitting equipment respectively；
The TF storage cards are for storing the window mutation content threshold value, the percentage threshold and the window reference wheel
It is wide.
7. big data acquisition platform as claimed in claim 6, it is characterised in that：
The window areas estimation device is also connect with the terrestrial television transmission interface；
Wherein, the window areas estimation device is used to the light levels of the block passing through the terrestrial television transmission interface
It is sent at the handheld terminal of ground staff.
8. big data acquisition platform as claimed in claim 7, it is characterised in that：
The self-adapting compressing equipment is also connect with the terrestrial television transmission interface；
Wherein, the self-adapting compressing equipment is used to pass the compressed site environment image obtained by the terrestrial television
Defeated interface is sent at the handheld terminal of ground staff.
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| CN201810092617.9A CN108737775B (en) | 2018-01-31 | 2018-01-31 | Big data acquisition platform |
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|---|---|---|---|
| CN201810092617.9A CN108737775B (en) | 2018-01-31 | 2018-01-31 | Big data acquisition platform |
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| CN108737775B CN108737775B (en) | 2019-04-05 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110648306A (en) * | 2019-05-04 | 2020-01-03 | 孟宪胜 | Wind direction sudden change detection platform based on big data analysis |
| CN112532557A (en) * | 2020-07-21 | 2021-03-19 | 靳霞 | Attitude correction system and method based on OFDM communication |
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| CN105157679A (en) * | 2015-03-10 | 2015-12-16 | 无锡桑尼安科技有限公司 | Unmanned aerial vehicle detection equipment for urban road identification |
| US20170193829A1 (en) * | 2015-12-31 | 2017-07-06 | Unmanned Innovation, Inc. | Unmanned aerial vehicle rooftop inspection system |
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| CN104656669A (en) * | 2015-03-10 | 2015-05-27 | 无锡桑尼安科技有限公司 | Unmanned aerial vehicle landing position search system based on image treatment |
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| US20170193829A1 (en) * | 2015-12-31 | 2017-07-06 | Unmanned Innovation, Inc. | Unmanned aerial vehicle rooftop inspection system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112532557A (en) * | 2020-07-21 | 2021-03-19 | 靳霞 | Attitude correction system and method based on OFDM communication |
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| Publication number | Publication date |
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| CN108737775B (en) | 2019-04-05 |
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