CN108810814B - A kind of orientation big data transmitted bandwidth distribution method - Google Patents
A kind of orientation big data transmitted bandwidth distribution method Download PDFInfo
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- CN108810814B CN108810814B CN201810158186.1A CN201810158186A CN108810814B CN 108810814 B CN108810814 B CN 108810814B CN 201810158186 A CN201810158186 A CN 201810158186A CN 108810814 B CN108810814 B CN 108810814B
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4038—Scaling the whole image or part thereof for image mosaicing, i.e. plane images composed of plane sub-images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
- H04W28/18—Negotiating wireless communication parameters
- H04W28/20—Negotiating bandwidth
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
Abstract
The present invention relates to a kind of orientation big data transmitted bandwidth distribution methods to determine the directional data transmitted bandwidth for being emitted to the space being assigned to the method includes using directional data transmitted bandwidth distribution platform with the density of stream of people based on each space.By means of the invention it is possible to which the validity of wireless network data transmission is effectively ensured.
Description
Technical field
The present invention relates to big data field more particularly to a kind of orientation big data transmitted bandwidth distribution methods.
Background technique
Router is the equipment for connecting each local area network, wide area network in internet, he can automatically select according to the case where channel
It is routed with setting, with optimal path, sends signal by tandem.Router is the hinge of internet, " traffic-police ".Mesh
Preceding router has been widely used for all trades and professions, and the product of various difference class has become to be connected inside the various backbone networks of realization
It connects, the main force of backbone internetworking and backbone network and internet interconnection business.Main region between routing and interchanger
It is not exactly that interchanger occurs in the OSI Reference Model second layer (data link layer), and routes and occur in third layer, i.e. network layer.
This difference determines that routing and interchanger are needed during mobile message using different control information, and thus the two is real
Now the mode of respective function is different.
However, the emission mode of the transmitter of router excessively solidifies, to the emissive porwer and radiation pattern of all directions
It is all identical, the adaptive switching of emission mode can not be carried out according to the density of stream of people of all directions.
Summary of the invention
To solve the above-mentioned problems, it the present invention provides a kind of orientation big data transmitted bandwidth distribution method, can satisfy the need
High precision image detection, and the density of stream of people based on each space are carried out by the density of stream of people in space each around device, determined
The directional data transmitted bandwidth for being emitted to the space being assigned to, density of stream of people is bigger, and the bandwidth of distribution is bigger.
According to an aspect of the present invention, a kind of orientation big data transmitted bandwidth distribution method is provided, the method includes
Using directional data transmitted bandwidth distribution platform with the density of stream of people based on each space, determine that is be assigned to is emitted to the sky
Between directional data transmitted bandwidth, the directional data transmitted bandwidth distribution platform includes:
Multiple cameras are separately positioned in each different spaces of wireless network control, each camera for pair
Live progress image data acquiring where it in space, to obtain and export corresponding live image data；
Data splice equipment, connect respectively with the multiple camera, for what is exported respectively to the multiple camera
Multiple live image datas carry out non-duplicate removal formula image data splicing, to obtain and export non-duplicate removal formula stitching image；
Pixel value obtains equipment, connect with data splicing equipment, each in the non-duplicate removal formula stitching image for obtaining
Cyan component value, magenta component value, yellow color component value and the black color component values of a pixel；
Redundancy calculates equipment, obtains equipment with the pixel value and connect, for receiving the cyan component of each pixel
Value, magenta component value, yellow color component value and black color component values carry out redundancy to the cyan component value of each pixel and sentence
Break to determine whether the pixel is cyan component redundant sub-pixels point, redundancy is carried out to the magenta component value of each pixel
Degree judges to carry out the yellow color component value of each pixel to determine whether the pixel is magenta component redundant sub-pixels point
Redundancy judges to determine whether the pixel is yellow color component redundant sub-pixels point, to the black color component values of each pixel into
Row redundancy judges to determine whether the pixel is black component redundant sub-pixels point；
Pixel judges equipment, calculates equipment with the redundancy and connect, for belonging to cyan component redundancy when pixel
Any three in pixel, magenta component redundant sub-pixels point, yellow color component redundant sub-pixels point and black component redundant sub-pixels point
When seed type, judge the pixel for pixel to be processed；
Density of stream of people detection device judges that equipment is connect with the pixel, is used for the non-duplicate removal formula stitching image
In institute's pixel to be handled be formed by pattern and successively carry out Image erosion processing and image expansion processing, with obtain to
Identification icon, and personnel's detection is carried out to obtain each personnel objects to the pattern to be identified, and splice based on non-duplicate removal formula
Personnel objects' quantity in image in each space, determines the density of stream of people in each space, and sends each of each space
A density of stream of people.
Therefore, the present invention at least has following two crucial inventive points:
(1) cyan component value, magenta component value, yellow color component value and black point based on each pixel in image
The analysis and judgement of the redundancy of magnitude determine each composition pixel of target region, to ensure that succeeding target
The precision of detection；
(2) based on the density of stream of people in each space, the directional data transmitting band for being emitted to the space being assigned to is determined
Width, density of stream of people is bigger, and the bandwidth of distribution is bigger, and the validity of wireless network data transmission has been effectively ensured.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is the wireless network according to applied by the directional data transmitted bandwidth distribution platform shown in embodiment of the present invention
Equipment composition schematic diagram.
Specific embodiment
The embodiment of directional data transmitted bandwidth distribution platform of the invention is carried out specifically below with reference to accompanying drawings
It is bright.
In order to overcome above-mentioned deficiency, the present invention has built a kind of orientation big data transmitted bandwidth distribution method, the method
Including using directional data transmitted bandwidth distribution platform with the density of stream of people based on each space, determine that is be assigned to is emitted to
The directional data transmitted bandwidth in the space.The directional data transmitted bandwidth distribution platform is able to solve router data transmitting mould
The cured defect of formula.
Fig. 1 is the wireless network according to applied by the directional data transmitted bandwidth distribution platform shown in embodiment of the present invention
Equipment composition schematic diagram.
The directional data transmitted bandwidth distribution platform shown according to an embodiment of the present invention includes:
Multiple cameras are separately positioned in each different spaces of wireless network control, each camera for pair
Live progress image data acquiring where it in space, to obtain and export corresponding live image data；
Data splice equipment, connect respectively with the multiple camera, for what is exported respectively to the multiple camera
Multiple live image datas carry out non-duplicate removal formula image data splicing, to obtain and export non-duplicate removal formula stitching image.
Then, continue to carry out further the specific structure of directional data transmitted bandwidth distribution platform of the invention
It is bright.
Can also include: in the directional data transmitted bandwidth distribution platform
Pixel value obtains equipment, connect with data splicing equipment, each in the non-duplicate removal formula stitching image for obtaining
Cyan component value, magenta component value, yellow color component value and the black color component values of a pixel；
Redundancy calculates equipment, obtains equipment with the pixel value and connect, for receiving the cyan component of each pixel
Value, magenta component value, yellow color component value and black color component values carry out redundancy to the cyan component value of each pixel and sentence
Break to determine whether the pixel is cyan component redundant sub-pixels point, redundancy is carried out to the magenta component value of each pixel
Degree judges to carry out the yellow color component value of each pixel to determine whether the pixel is magenta component redundant sub-pixels point
Redundancy judges to determine whether the pixel is yellow color component redundant sub-pixels point, to the black color component values of each pixel into
Row redundancy judges to determine whether the pixel is black component redundant sub-pixels point；
Pixel judges equipment, calculates equipment with the redundancy and connect, for belonging to cyan component redundancy when pixel
Any three in pixel, magenta component redundant sub-pixels point, yellow color component redundant sub-pixels point and black component redundant sub-pixels point
When seed type, judge the pixel for pixel to be processed；
Density of stream of people detection device judges that equipment is connect with the pixel, is used for the non-duplicate removal formula stitching image
In institute's pixel to be handled be formed by pattern and successively carry out Image erosion processing and image expansion processing, with obtain to
Identification icon, and personnel's detection is carried out to obtain each personnel objects to the pattern to be identified, and splice based on non-duplicate removal formula
Personnel objects' quantity in image in each space, determines the density of stream of people in each space, and sends each of each space
A density of stream of people；
Density compares equipment, connect with the density of stream of people detection device, for receiving each individual in each space
Current density, and each space is ranked up according to density size, and export the corresponding space in each space after sequence
Title sequence, in the space name sequence, name in a name space claims more forward, and corresponding density is bigger；
Launch control equipment is connect with radio network router, and equipment connects also compared with the density, for receiving
Space name sequence is stated, and is that different directional data transmitted bandwidths is distributed in each space based on the space name sequence,
So that the radio network router carries out wireless network according to distributing different directional data transmitted bandwidth for each space
The transmitting of network data；
Wherein, in the launch control equipment, based on the space name sequence be each space distribute it is different
Directional data transmitted bandwidth includes: in the space name sequence, and name in a name space claims more forward, and corresponding density is bigger, distribution
To the directional data transmitted bandwidth for being emitted to the space it is bigger.
In the directional data transmitted bandwidth distribution platform:
Each camera further includes camera shooting bracket, blue color filter, camera lens, ccd sensor, network transport interface and sudden strain of a muscle
Light lamp；
Wherein, the front end of the camera lens is arranged in the blue color filter, and the ccd sensor is arranged in the camera lens
Front end, the blue color filter, the camera lens, the ccd sensor, the network transport interface and the flash lamp are all arranged
On the camera shooting bracket.
In the directional data transmitted bandwidth distribution platform:
The radio network router equipment and the multiple camera compared with the density are all established based on UDP's
Wireless data link.
In the directional data transmitted bandwidth distribution platform:
It is calculated in equipment in the redundancy, redundancy is carried out to the cyan component value of each pixel and is judged with determination
Whether the pixel is pixel area that cyan component redundant sub-pixels point comprises determining that the preset shape centered on the pixel
Domain determines whether the pixel is cyan component redundancy picture based on the cyan component value of all pixels point in the pixel region
Vegetarian refreshments.
In the directional data transmitted bandwidth distribution platform:
It is calculated in equipment in the redundancy, redundancy is carried out to the magenta component value of each pixel and is judged with true
Whether the fixed pixel is pixel that magenta component redundant sub-pixels point comprises determining that the preset shape centered on the pixel
Point region, determines whether the pixel is magenta minute based on the magenta component value of all pixels point in the pixel region
Measure redundant sub-pixels point.
In the directional data transmitted bandwidth distribution platform:
It is calculated in equipment in the redundancy, redundancy is carried out to the yellow color component value of each pixel and is judged with determination
Whether the pixel is pixel area that yellow color component redundant sub-pixels point comprises determining that the preset shape centered on the pixel
Domain determines whether the pixel is yellow color component redundancy picture based on the yellow color component value of all pixels point in the pixel region
Vegetarian refreshments.
And in the directional data transmitted bandwidth distribution platform:
It is calculated in equipment in the redundancy, redundancy is carried out to the black color component values of each pixel and is judged with determination
Whether the pixel is pixel area that black component redundant sub-pixels point comprises determining that the preset shape centered on the pixel
Domain determines whether the pixel is black component redundancy picture based on the black color component values of all pixels point in the pixel region
Vegetarian refreshments.
Furthermore it is possible to replace the ccd sensor using active pixel sensor.Active pixel sensor
(Active Pixel Sensor, abbreviation APS), is called active element sensor.Almost invented in CMOS PPS dot structure
While, it is rapidly be recognized that the performance of pixel can be improved by introducing buffer or amplifier in pixel, in CMOS APS
In have oneself amplifier in each pixel.The amplifying transistor for being integrated in surface reduces the active surface of pixel element
Product, reduces " packaging density ", reflects 40%~50% incident light.
Another problem of this sensor is how to make having preferable matching between the multi-channel amplifier of sensor,
This can preferably be realized by reducing the fixed pattern noise of residual level.Due to each amplifier in CMOS APS pixel
It is excited during only reading herein, so the power dissipation ratio ccd image sensor of CMOS APS is also small.
Using directional data transmitted bandwidth distribution platform of the invention, distributed for data transmitted bandwidth in the prior art flat
The technical problem for causing efficiency of transmission low determines the hair being assigned to by the density of stream of people in each space of acquisition
It is mapped to the directional data transmitted bandwidth in the space, density of stream of people is bigger, and the bandwidth of distribution is bigger, and wireless network number has been effectively ensured
According to the validity of transmission, it is often more important that, in the detection process of density of stream of people, the cyan based on each pixel in image
The analysis and judgement of component value, magenta component value, the redundancy of yellow color component value and black color component values, determine target location
Each composition pixel in domain, to solve above-mentioned technical problem.
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, anything that does not depart from the technical scheme of the invention are 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 (1)
1. a kind of orientation big data transmitted bandwidth distribution method, the method includes using directional data transmitted bandwidth distribution platform
With the density of stream of people based on each space, the directional data transmitted bandwidth for being emitted to the space being assigned to, feature are determined
It is, the directional data transmitted bandwidth distribution platform includes:
Multiple cameras are separately positioned in each different spaces of wireless network control, each camera is used for its institute
Live progress image data acquiring in space, to obtain and export corresponding live image data；
Data splice equipment, connect respectively with the multiple camera, multiple for exporting respectively to the multiple camera
Live image data carries out non-duplicate removal formula image data splicing, to obtain and export non-duplicate removal formula stitching image；
Pixel value obtains equipment, connect with data splicing equipment, for obtaining each picture in the non-duplicate removal formula stitching image
Cyan component value, magenta component value, yellow color component value and the black color component values of vegetarian refreshments；
Redundancy calculates equipment, obtains equipment with the pixel value and connect, for receiving cyan component value, the product of each pixel
Red color component value, yellow color component value and black color component values, to the cyan component value of each pixel carry out redundancy judge with
Determine whether the pixel is cyan component redundant sub-pixels point, redundancy is carried out to the magenta component value of each pixel and is sentenced
Break to determine whether the pixel is magenta component redundant sub-pixels point, redundancy is carried out to the yellow color component value of each pixel
Degree judges to carry out the black color component values of each pixel superfluous to determine whether the pixel is yellow color component redundant sub-pixels point
Remaining judges to determine whether the pixel is black component redundant sub-pixels point；
Pixel judges equipment, calculates equipment with the redundancy and connect, for belonging to cyan component redundant sub-pixels when pixel
Any three type in point, magenta component redundant sub-pixels point, yellow color component redundant sub-pixels point and black component redundant sub-pixels point
When type, judge the pixel for pixel to be processed；
Density of stream of people detection device judges that equipment is connect with the pixel, for will be in the non-duplicate removal formula stitching image
Institute's pixel to be handled is formed by pattern and successively carries out Image erosion processing and image expansion processing, to be identified to obtain
Pattern, and personnel's detection is carried out to obtain each personnel objects to the pattern to be identified, and be based on non-duplicate removal formula stitching image
In personnel objects' quantity in each space, determine the density of stream of people in each space, and send each individual in each space
Current density；
Density compares equipment, connect with the density of stream of people detection device, and each stream of people for receiving each space is close
Degree, and each space is ranked up according to density size, and export the corresponding space name in each space after sequence
Sequence, in the space name sequence, name in a name space claims more forward, and corresponding density is bigger；
Launch control equipment is connect with radio network router, and equipment connects also compared with the density, for receiving the sky
Between title sequence, and based on the space name sequence be each space distribute different directional data transmitted bandwidths so that
The radio network router distributes different directional data transmitted bandwidth progress wireless network numbers according to for each space
According to transmitting；
It wherein, is that different orientations is distributed in each space based on the space name sequence in the launch control equipment
Data transmitted bandwidth includes: in the space name sequence, and name in a name space claims more forward, and corresponding density is bigger, is assigned to
The directional data transmitted bandwidth for being emitted to the space is bigger；
Each camera further includes camera shooting bracket, blue color filter, camera lens, ccd sensor, network transport interface and flash of light
Lamp；
Wherein, the front end of the camera lens is arranged in the blue color filter, before the ccd sensor is arranged in the camera lens
End, the blue color filter, the camera lens, the ccd sensor, the network transport interface and the flash lamp are all disposed within
On the camera shooting bracket；
The radio network router equipment and the multiple camera compared with the density are all established based on the wireless of UDP
Data transmission link；
It is calculated in equipment in the redundancy, redundancy is carried out to the cyan component value of each pixel and is judged to determine the picture
Whether vegetarian refreshments is pixel region that cyan component redundant sub-pixels point comprises determining that the preset shape centered on the pixel,
Determine whether the pixel is cyan component redundant sub-pixels based on the cyan component value of all pixels point in the pixel region
Point；
It is calculated in equipment in the redundancy, redundancy is carried out to the magenta component value of each pixel and is judged to determine and be somebody's turn to do
Whether pixel is pixel area that magenta component redundant sub-pixels point comprises determining that the preset shape centered on the pixel
Domain determines whether the pixel is that magenta component is superfluous based on the magenta component value of all pixels point in the pixel region
Afterimage vegetarian refreshments；
It is calculated in equipment in the redundancy, redundancy is carried out to the yellow color component value of each pixel and is judged to determine the picture
Whether vegetarian refreshments is pixel region that yellow color component redundant sub-pixels point comprises determining that the preset shape centered on the pixel,
Determine whether the pixel is yellow color component redundant sub-pixels based on the yellow color component value of all pixels point in the pixel region
Point；
It is calculated in equipment in the redundancy, redundancy is carried out to the black color component values of each pixel and is judged to determine the picture
Whether vegetarian refreshments is pixel region that black component redundant sub-pixels point comprises determining that the preset shape centered on the pixel,
Determine whether the pixel is black component redundant sub-pixels based on the black color component values of all pixels point in the pixel region
Point.
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Citations (4)
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|---|---|---|---|---|
| CN1146129A (en) * | 1995-07-14 | 1997-03-26 | 摩托罗拉公司 | Centralized dynamic channel assignment controller and methods |
| CN102143534A (en) * | 2010-12-31 | 2011-08-03 | 华为技术有限公司 | Method, equipment and system for processing bandwidth control |
| CN105407110A (en) * | 2015-12-29 | 2016-03-16 | 成都移动魔方科技有限公司 | Real-time remote monitoring data transmission method |
| CN107145821A (en) * | 2017-03-23 | 2017-09-08 | 华南农业大学 | A kind of crowd density detection method and system based on deep learning |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014068065A2 (en) * | 2012-10-31 | 2014-05-08 | Jf Oceans | Method for remotely controlling human perceivable output of a plurality of devices, system, transmitter, device, software product and human unperceivable acoustic signal for performing the method |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1146129A (en) * | 1995-07-14 | 1997-03-26 | 摩托罗拉公司 | Centralized dynamic channel assignment controller and methods |
| CN102143534A (en) * | 2010-12-31 | 2011-08-03 | 华为技术有限公司 | Method, equipment and system for processing bandwidth control |
| CN105407110A (en) * | 2015-12-29 | 2016-03-16 | 成都移动魔方科技有限公司 | Real-time remote monitoring data transmission method |
| CN107145821A (en) * | 2017-03-23 | 2017-09-08 | 华南农业大学 | A kind of crowd density detection method and system based on deep learning |
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